Research article

Pseudo-ordering and δ1-level mappings: A study in fuzzy interval convex analysis

  • Received: 31 December 2024 Revised: 14 March 2025 Accepted: 20 March 2025 Published: 28 March 2025
  • MSC : 26A51, 26D07, 26D10, 26D15, 26D20

  • This work utilized the concepts of fuzzy interval analysis and convexity to explore some novel refinements of classical counterparts. The main goal was to look into a type of strong convexity that connected the ideas of pseudo-ordering, δ1-level mappings, and the control function . This type of mapping is called a fuzzy number-valued -super-quadratic mapping. An interesting fact is that all the function classes extracted from this class were new and novel and quite useful in the optimization and approximation theory. We assessed this class of functions pertaining to essential properties, examples, and various integral inequalities such as Jensen's, reverse Jensen's, Jensen-Mercer, Hermite-Hadamard and Fejer's like inequalities in the classical, and fractional framework. Furthermore, we delivered the accuracy of our findings through graphical and tabular approaches, particularly a novel application for means.

    Citation: Muhammad Zakria Javed, Muhammad Uzair Awan, Loredana Ciurdariu, Omar Mutab Alsalami. Pseudo-ordering and δ1-level mappings: A study in fuzzy interval convex analysis[J]. AIMS Mathematics, 2025, 10(3): 7154-7190. doi: 10.3934/math.2025327

    Related Papers:

    [1] Harshitha Shanmuganathan, Radha Kumar, D.V. Lal, Chaudhary Devanand Gulab, E. Gayathri, Kesavaraj Pallavi Raja . Assessment of behavioural problems in preschool and school going children with epilepsy. AIMS Neuroscience, 2022, 9(2): 277-287. doi: 10.3934/Neuroscience.2022015
    [2] Mazyar Zahir, Amir Rashidian, Mohsen Hoseini, Reyhaneh Akbarian, Mohsen Chamanara . Pharmacological evidence for the possible involvement of the NMDA receptor pathway in the anticonvulsant effect of tramadol in mice. AIMS Neuroscience, 2022, 9(4): 444-453. doi: 10.3934/Neuroscience.2022024
    [3] Galina V. Portnova, Oxana Ivanova, Elena V. Proskurnina . Effects of EEG examination and ABA-therapy on resting-state EEG in children with low-functioning autism. AIMS Neuroscience, 2020, 7(2): 153-167. doi: 10.3934/Neuroscience.2020011
    [4] Kamal Solati, Zahra Rabiei, Samira Asgharzade, Hossein Amini-Khoei, Ali Hassanpour, Zahra Abbasiyan, Maryam Anjomshoa, Mahmoud Rafieian-Kopaei . The effect of pretreatment with hydroalcoholic extract of Alpinia officinarum rhizome on seizure severity and memory impairment in pentylenetetrazol-induced kindling model of seizure in rat. AIMS Neuroscience, 2019, 6(3): 128-145. doi: 10.3934/Neuroscience.2019.3.128
    [5] Cristina Fernandez-Baizan, Leticia Alcantara-Canabal, Marta Mendez, Gonzalo Solis . Psychomotor development in very and extremely low-birth-weight preterm children: Could it be predicted by early motor milestones and perinatal complications?. AIMS Neuroscience, 2022, 9(2): 216-227. doi: 10.3934/Neuroscience.2022011
    [6] Ritwik Das, Artur Luczak . Epileptic seizures and link to memory processes. AIMS Neuroscience, 2022, 9(1): 114-127. doi: 10.3934/Neuroscience.2022007
    [7] Robin Quilliam, Samantha Quilliam, Morag Turnbull, Shelagh Parkinson, Godwin Oligbu . Catatonia as a presentation of autism in a child: a case report. AIMS Neuroscience, 2020, 7(3): 327-332. doi: 10.3934/Neuroscience.2020019
    [8] Piali Bhati, Theodore C. K. Cheung, Gobika Sithamparanathan, Mark A. Schmuckler . Striking a balance in sports: the interrelation between children's sports experience, body size, and posture. AIMS Neuroscience, 2022, 9(2): 288-302. doi: 10.3934/Neuroscience.2022016
    [9] Francesca Latino, Francesco Tafuri . The role of physical activity in the physiological activation of the scholastic pre-requirements. AIMS Neuroscience, 2024, 11(3): 244-259. doi: 10.3934/Neuroscience.2024016
    [10] Laura Serra, Sara Raimondi, Carlotta di Domenico, Silvia Maffei, Anna Lardone, Marianna Liparoti, Pierpaolo Sorrentino, Carlo Caltagirone, Laura Petrosini, Laura Mandolesi . The beneficial effects of physical exercise on visuospatial working memory in preadolescent children. AIMS Neuroscience, 2021, 8(4): 496-509. doi: 10.3934/Neuroscience.2021026
  • This work utilized the concepts of fuzzy interval analysis and convexity to explore some novel refinements of classical counterparts. The main goal was to look into a type of strong convexity that connected the ideas of pseudo-ordering, δ1-level mappings, and the control function . This type of mapping is called a fuzzy number-valued -super-quadratic mapping. An interesting fact is that all the function classes extracted from this class were new and novel and quite useful in the optimization and approximation theory. We assessed this class of functions pertaining to essential properties, examples, and various integral inequalities such as Jensen's, reverse Jensen's, Jensen-Mercer, Hermite-Hadamard and Fejer's like inequalities in the classical, and fractional framework. Furthermore, we delivered the accuracy of our findings through graphical and tabular approaches, particularly a novel application for means.



    Febrile seizures (FS) are commonly manifested in children below 5 years of age [1]. They are defined as seizures occurring in children aged 6 to 60 months, with high-grade fever (>38 °C) and without central nervous system infection or metabolic disorders [2]. An estimated 2% to 5% of children in the USA and Western Europe suffer FS annually [3], compared to 8% to10% in Asia [4],[5]. The exact pathogenesis of FS remains poorly understood; however, genetic predisposition, changes in neurotransmitter levels, and serum electrolyte imbalance are some of the known risk factors [6][8].

    Magnesium (Mg) is an abundant intracellular cation in the body. It is predominantly present in muscles, soft tissues, bones, and erythrocytes. Its major functions are to establish and maintain electrical potentials across cell membranes through the Na/K ATPases system, and inhibit voltage-gated calcium channels in the body. So, hypomagnesemia could trigger the release of calcium ions, which in turn induces nerve and muscle excitability [9]. In the brain, glutamate is the primary excitatory neurotransmitter, acting as an agonist of the N-Methyl-D-aspartate receptors (NMDA), while extracellular magnesium is known to inhibit these receptors. Therefore, hypomagnesemia can facilitate the excitation of NMDA receptors, allowing glutamate to depolarize the postsynaptic membrane and enhance epileptiform electrical activity [10].

    According to a previous study, low serum magnesium level is associated with FS [11]. One study demonstrated that magnesium concentration in the cerebrospinal fluids (CSF) of epileptic children is significantly increased, potentially influenced by functional abnormalities in the cell membranes that may occur during epilepsy [12]. Although FS often have good prognoses, their occurrence is a worrisome predicament for parents of the affected children as about 2–8% eventually develop epilepsy in the future [13],[14]. A recent meta-analysis [15] summarized hypomagnesemia in children with FS, however, subsequent studies are still inconsistent [16]. In this study, we compared the levels of serum magnesium between children with febrile seizures and those who were febrile but had no seizures, to ascertain the hypothesized association between serum magnesium and febrile seizures.

    This case-control study was retrospectively conducted at the Department of Pediatrics, Zhongnan Hospital of Wuhan University, China, from February 2019 to January 2021. The study protocol was approved by the Zhongnan Hospital of Wuhan University Research Ethics Committee, and informed consent was sought from parents of all eligible children. Data from 115 cases (children with febrile seizures) and 115 age, and gender-matched controls (children with fever but no seizures) were retrieved from the hospital's electronic medical records and analyzed. Children included in the study were only those between the ages of 6 and 60 months, had FS, and had normal development. Similarly, age- and sex-matched control children with fever but no episodes of seizures were recruited. While, children with a history of congenital anomalies, infection of the central nervous system (CNS), metabolic disorder, and history of magnesium supplement receipt were excluded.

    Extracted data included basic patient information, i.e., age of onset, sex, temperature, birth weight, gestational age, history of FS, family history of seizures, and serum magnesium levels. Laboratory results consisted of serum magnesium levels measured within 12 hours after the seizure. Abnormal results were considered to be those outside the reference range as set by our hospital laboratory; 0.85–1.15 mmol/L [17].

    Statistical Package for the Social Sciences (SPSS) program version 22 was used for data analysis. Continuous variables were presented as mean ± SD and categorical variables as frequency & percentages. Independent student's t-tests were used to compare the means of continuous variables, while Pearson's Chi-square test was conducted for categorical variables. The correlation between hypomagnesemia and FS was determined by Pearson's correlation coefficient (r). Two-sided p-values of <0.05 was considered statistically significant.

    In total, 230 age and sex-matched cases and controls were recruited, with mean age, 30.17 ± 14.5 vs 33.72 ± 13.31 months, p > 0.05 respectively. Mean birth weight was 3.23 ± 0.5136 vs 3.24 ± 0.513 kg, p > 0.05 for cases and controls respectively. Among the cases with preterm birth, 7.8% were premature, compared to only 1.7% of controls, p < 0.05). The mean temperature among the cases and the control group was 39.46 ± 0.66 vs 39.08 ± 0.57 °C, p > 0.05 respectively. In children with FS, fever was due to the respiratory and urinary tract infections in 99,1% and 0,9% of cases, respectively. All controls had a respiratory tract infection. Cases were more likely to present with a history of FS than controls, (36.5% vs 3.5%). Similarly, a family history of FS was more common in cases than controls, (33.9% vs. 0%). In terms of the type of FS, simple FS accounted for 94.7% of all febrile seizures, followed by complex febrile seizures at 5.3%. A detailed description is shown in Tables 1&2.

    Independent student's t-test for the standard mean difference of serum magnesium revealed that the mean serum magnesium level was significantly lower in the cases than the controls; 0.93 ± 0.129 vs 0.97 ± 0.0961 mmol / L; p < 0.01. Based on the laboratory interpretation of hypomagnesemia, (<0.85 mmol/L), 26.1% vs 8.7% of the cases and controls had hypomagnesemia respectively. Finally, Pearson's correlation analysis found that serum magnesium level was negatively correlated with FS (r = [−0.169], p < 0.05), suggesting that hypomagnesemia could have promoted the febrile seizures in these children. The detailed description is shown in Tables 3&4.

    Table 1.  Comparison of risk factors between 115 cases and 115 controls.
    Parameters Cases (n=115) Controls (n=115) P-value
    Age (months) 30.17 ± 14.5 33.72 ± 13.31 1.719
    Gender Male 75 (65.2%) 75 (65.2%) 0.555
    Female 40 (34.8%) 40 (34.8%)
    BW (kg) 3.23 ± 0.5136 3.24 ± 0.513 0.844
    Gestational age Preterm 9 (7.8%) 2 (1.7%)
    Term 106 (92.2%) 113 (98.3%) 0.03
    Temperature (°C) 39.46 ± 0.66 39.08 ± 0.57 0.101
    Cause of fever Respiratory tract infection 114 (99.1%) 115 (100%)
    Urinary tract infection 1 (0.9%) 0 (0.0%) 0.500
    History of FS Yes 42 (36.5%) 4 (3.5%)
    No 73 (63.5%) 111 (96.5%) 0.000
    Family history of FS Yes 39 (33.9%) 115 (100%)
    No 76 (66.1%) 0 (0.0%) 0.00

     | Show Table
    DownLoad: CSV
    Table 2.  Type of febrile seizures.
    Type of FS Frequency Percentage
    Simple 109 94.7
    Complex 6 5.3
    Total 115 100

     | Show Table
    DownLoad: CSV
    Table 3.  Comparison of serum magnesium levels between cases and controls.
    Serum levels Cases (n=115) Mean ± SD Controls (n=115) Mean ± SD P-value
    Magnesium 0.93± 0.129 0.97 ± 0.0961 0.007

     | Show Table
    DownLoad: CSV
    Table 4.  Distribution of Hypomagnesemia in cases and controls.
    Parameter Cases freq. (%) Controls freq. (%) P-Value
    Magnesium Hypomagnesaemia 30 (26.1%) 10 (8.7%) 0.000
    Normal 85(73.9%) 105 (91.3%)
    Total 115 (100%) 115 (100%)

    Fishers exact test is applied; p value is significant, if <0.05.

     | Show Table
    DownLoad: CSV

    This study examined the relationship between serum magnesium and the occurrence of seizures in febrile children. By demographics, the cases and controls were comparable; the mean age was 30.17 ± 14.5 vs 33.72 ± 13.31 months in cases and controls respectively. However, this was higher than that observed by Namakin K et al, where the mean age of the children with FS was 24.1 ± 13.4 months [17]. Furthermore, in this study, approximately 65.2% of the cases were male and 34.8% were female, agreeing with Naseer et.al who also found 62% of febrile children with seizures were males versus 39% of females, indicating a male predisposition to FS [19].

    In our study, the mean birth weights of cases and controls were comparable; (3.23 ± 0.51 vs 3.24 ± 0.51) kg, while the case group had more children with low gestational age than control group children (7.8% vs 1.7%). This result is consistent with that of another group [20]. We also found that the mean temperature at which FS occurred was 39.46 ± 0.66 degrees Celsius, consistent with report by Baaker et al. who found a mean temperature of 39.4 °C [21]. It has been documented that viral infections and temperatures above 39°C are associated with convulsive behavior in individuals [22]. The majority of our cases (99.1%) were due to respiratory tract infections, with cases having significant individual and family histories of febrile seizures than controls, 36.5% vs 3.5%, and 33.9% vs 0% respectively. This is also consistent with results from other published studies [23],[24]. By type of seizures, the vast majority of cases had simple FS (94.7%), compared to just 5.3% with complex FS, a result in agreement with Thakur et al., who found 78.8% of their cases had simple febrile seizures compared to 21.3% with complex FS.

    The mean serum magnesium levels in our study were significantly lower in children with FSthan in febrile children without seizures and were negatively correlated with the occurrence of FS. Similar results were observed by Bharathi et al. [25] and Debroy et al. [26], while Baek et al. demonstrated that hypomagnesemia was an independent risk factor for FS (11). Talebian et al. simultaneously examined serum levels of magnesium and zinc in 60 children with FS, aged between 3 and 72 months, and found both grossly deficient. In this study magnesium and zinc supplements were recommended [27]. Similarly, Kannachamkandy et al simultaneously examined serum magnesium and copper in 35 children with febrile epilepsy and controls and discovered that while magnesium was significantly deficient, copper was rather higher in cases than in controls and that both levels were significantly associated with febrile seizures [28]. These studies suggest that there could be an association between magnesium and other trace elements in the serum of children with FS that need to be investigated. The muscle hyperexcitability seen in magnesium-deficient FS is possible because magnesium is required by enzymes that maintain cell membrane stability and nerve conduction, and so hypomagnesemia would lead to nerve and muscle excitability. Moreover, magnesium blocks the calcium channel in the NMDA receptor; consequently, it must be released for glutamatergic excitatory signaling to occur. Theoretically, low magnesium levels may enhance glutamatergic neurotransmission [29].

    Despite the possible association between hypomagnesemia and febrile seizures observed in this study, the small sample size still limits the generalizability of the results. Future studies with large sample sizes are required to confirm these results.

    In summary, this study revealed that serum magnesium was significantly low in febrile children with seizures compared to those without. Hypomagnesemia was also significantly associated with the occurrence of FS was more likely to occur in children with individual and family histories of FS. These results indicate that hypomagnesemia could be a risk factor for a febrile seizure. It is thus important that future large cohort studies look into this association to ensure that guidelines are set for the proper management of these children.



    [1] K. Nikodem, On strongly convex functions and related classes of functions, In: Handbook of functional equations: functional inequalities, 2014,365–405. https://doi.org/10.1007/978-1-4939-1246-9_16
    [2] A. W. Roberts, D. E. Varberg, Convex functions, New York: Academic Press, 1973.
    [3] K. Nikodem, Z. Pales, Characterizations of inner product spaces by strongly convex functions, Banach J. Math. Anal., 5 (2011), 83–87. https://doi.org/10.15352/bjma/1313362982 doi: 10.15352/bjma/1313362982
    [4] N. Merentes, K. Nikodem, Remarks on strongly convex functions, Aequat. Math., 80 (2010), 193–199. https://doi.org/10.1007/s00010-010-0043-0 doi: 10.1007/s00010-010-0043-0
    [5] M. A. Noor, K. I. Noor, Some characterizations of strongly preinvex functions, J. Math. Anal., 316 (2006), 697–706. https://doi.org/10.1016/j.jmaa.2005.05.014 doi: 10.1016/j.jmaa.2005.05.014
    [6] S. Z. Ullah, M. A. Khan, Z. A. Khan, Y. M. Chu, Coordinate strongly s-convex functions and related results, J. Math. Inequal., 14 (2020), 829–843. http://doi.org/10.7153/jmi-2020-14-53 doi: 10.7153/jmi-2020-14-53
    [7] S. Abramovich, G. Jameson, G. Sinnamon, Refining Jensen's inequality, Bull. Math. Soc. Sci. Math. Roumanie, 47 (2004), 3–14.
    [8] M. Kian, Operator Jensen inequality for superquadratic functions, Linear Algebra Appl., 456 (214), 82–87. https://doi.org/10.1016/j.laa.2012.12.011 doi: 10.1016/j.laa.2012.12.011
    [9] M. Kian, S. S. Dragomir, Inequalities involving superquadratic functions and operators, Mediterr. J. Math., 11 (2014), 1205–1214. https://doi.org/10.1007/s00009-013-0357-y doi: 10.1007/s00009-013-0357-y
    [10] J. A. Oguntuase, L. E. Persson, Refinement of Hardy's inequalities via superquadratic and subquadratic functions, J. Math. Anal. Appl., 339 (2008), 1305–1312. https://doi.org/10.1016/j.jmaa.2007.08.007 doi: 10.1016/j.jmaa.2007.08.007
    [11] M. Krnic, H. R. Moradi, M. Sababheh, On superquadratic and logarithmically superquadratic functions, Mediterr. J. Math., 20 (2023), 311. https://doi.org/10.1007/s00009-023-02514-y doi: 10.1007/s00009-023-02514-y
    [12] S. Abramovich, S. Banic, M. Matic, J. Pecaric, Jensen-Steffensen's and related inequalities for superquadratic functions, Math. Inequal. Appl., 11 (2008), 23.
    [13] D. Khan, S. I. Butt, Y. Seol, Analysis of (P,m)-superquadratic function and related fractional integral inequalities with applications, J. Inequal. Appl., 2024 (2024), 137. https://doi.org/10.1186/s13660-024-03218-x doi: 10.1186/s13660-024-03218-x
    [14] M. Niezgoda, An extension of Levin-Steckin's theorem to uniformly convex and superquadratic functions, Aequat. Math., 94 (2020), 303–321. https://doi.org/10.1007/s00010-019-00675-4 doi: 10.1007/s00010-019-00675-4
    [15] S. Banic, J. Pecaric, S. Varosanec, Superquadratic functions and refinements of some classical inequalities, J. Korean Math. Soc., 45 (2008), 513–525. https://doi.org/10.4134/JKMS.2008.45.2.513 doi: 10.4134/JKMS.2008.45.2.513
    [16] S. Varosanec, On -convexity, J. Math. Anal. Appl., 326 (2007), 303–311. https://doi.org/10.1016/j.jmaa.2006.02.086 doi: 10.1016/j.jmaa.2006.02.086
    [17] M. W. Alomari, C. Chesneau, On -superquadratic functions, Afr. Mat., 33 (2022), 41. https://doi.org/10.1007/s13370-022-00984-z doi: 10.1007/s13370-022-00984-z
    [18] R. E. Moore, Interval analysis, Englewood Cliffs: Prentice-Hall, 1966.
    [19] L. A. Zadeh, Fuzzy sets, Inform. Control, 8 (1965), 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X doi: 10.1016/S0019-9958(65)90241-X
    [20] D. Dubois, H. Prade, Towards fuzzy differential calculus part 1: Integration of fuzzy mappings, Fuzzy Sets Syst., 8 (1982), 1–17. https://doi.org/10.1016/0165-0114(82)90025-2 doi: 10.1016/0165-0114(82)90025-2
    [21] S. Nanda, K. Kar, Convex fuzzy mappings, Fuzzy Sets Syst., 48 (1992), 129–132. https://doi.org/10.1016/0165-0114(92)90256-4 doi: 10.1016/0165-0114(92)90256-4
    [22] L. Stefanini, A generalization of Hukuhara difference and division for interval and fuzzy arithmetic, Fuzzy Sets Syst., 161 (2010), 1564–1584. https://doi.org/10.1016/j.fss.2009.06.009 doi: 10.1016/j.fss.2009.06.009
    [23] D. Zhang, C. Guo, D. Chen, G. Wang, Jensen's inequalities for set-valued and fuzzy set-valued functions, Fuzzy Sets Syst., 404 (2021), 178–204. https://doi.org/10.1016/j.fss.2020.06.003 doi: 10.1016/j.fss.2020.06.003
    [24] U. W. Kulisch, W. L. Miranker, Computer arithmetic in theory and practice, New York: Academic press, 2014.
    [25] B. Bede, S. G. Gal, Generalizations of the differentiability of fuzzy-number-valued functions with applications to fuzzy differential equations, Fuzzy Sets Syst., 151 (2005), 581–599. https://doi.org/10.1016/j.fss.2004.08.001 doi: 10.1016/j.fss.2004.08.001
    [26] M. B. Khan, H. G. Zaini, J. E. Macias-Diaz, S. Treanta, M. S. Soliman, Some fuzzy Riemann-Liouville fractional integral inequalities for Preinvex fuzzy interval-valued Functions, Symmetry, 14 (2022), 313. https://doi.org/10.3390/sym14020313 doi: 10.3390/sym14020313
    [27] U. M. Pirzada, D. C. Vakaskar, Existence of Hukuhara differentiability of fuzzy-valued functions, preprint paper, 2017. https://doi.org/10.48550/arXiv.1609.04748T
    [28] Y. Chalco-Cano, R. Rodriguez-Lopez, M. D. Jimenez-Gamero, Characterizations of generalized differentiable fuzzy functions, Fuzzy Sets Syst., 95 (2016), 37–56. https://doi.org/10.1016/j.fss.2015.09.005 doi: 10.1016/j.fss.2015.09.005
    [29] O. Kaleva, Fuzzy differential equations, Fuzzy Sets Syst., 24 (1987), 301–317. https://doi.org/10.1016/0165-0114(87)90029-7 doi: 10.1016/0165-0114(87)90029-7
    [30] D. Zhao, M. A. Ali, A. Kashuri, H. Budak, M. Z. Sarikaya, Hermite-Hadamard-type inequalities for the interval-valued approximately -convex functions via generalized fractional integrals, J. Inequal. Appl., 2020 (2020), 222. https://doi.org/10.1186/s13660-020-02488-5 doi: 10.1186/s13660-020-02488-5
    [31] E. R. Nwaeze, M. A. Khan, Y. M. Chu, Fractional inclusions of the Hermite-Hadamard type for m-polynomial convex interval-valued functions, Adv. Differ. Equ., 2020 (2020), 507. https://doi.org/10.1186/s13662-020-02977-3 doi: 10.1186/s13662-020-02977-3
    [32] T. Abdeljawad, S. Rashid, H. Khan, Y. M. Chu, On new fractional integral inequalities for p-convexity within interval-valued functions, Adv. Differ. Equ., 2020 (2020), 330. https://doi.org/10.1186/s13662-020-02782-y doi: 10.1186/s13662-020-02782-y
    [33] F. Shi, G. Ye, W. Liu, D. Zhao, cr-h-convexity and some inequalities for CR--convex function, Filomat, 2022, 1–17.
    [34] W. Liu, F. Shi, G. Ye, D. Zhao, Some inequalities for cr-log--convex functions, J. Inequal. Appl., 2022 (2022), 160. https://doi.org/10.1186/s13660-022-02900-2 doi: 10.1186/s13660-022-02900-2
    [35] W. Liu, F. Shi, G. Ye, D. Zhao, The properties of harmonically cr-h-convex function and its applications, Mathematics, 10 (2022), 2089. https://doi.org/10.3390/math10122089 doi: 10.3390/math10122089
    [36] H. Budak, T. Tunc, M. Sarikaya, Fractional Hermite-Hadamard-type inequalities for interval-valued functions, Amer. Math. Soc., 148 (2020), 705–718. https://doi.org/10.1090/proc/14741 doi: 10.1090/proc/14741
    [37] M. Vivas-Cortez, S. Ramzan, M. U. Awan, M. Z. Javed, A. G. Khan, M. A. Noor, Ⅳ-CR-γ-convex functions and their application in fractional Hermite-Hadamard inequalities, Symmetry, 15 (2023), 1405. https://doi.org/10.3390/sym15071405 doi: 10.3390/sym15071405
    [38] H. Cheng, D. Zhao, M. Z. Sarikaya, Hermite-Hadamard type inequalities for -convex function via fuzzy interval-valued fractional q-integral, Fractals, 32 (2024), 2450042. https://doi.org/10.1142/S0218348X24500427 doi: 10.1142/S0218348X24500427
    [39] B. B. Mohsin, M. U. Awan, M. Javed, H. Budak, A. G. Khan, M. A. Noor, Inclusions involving interval-valued harmonically co-ordinated convex functions and Raina's fractional double integrals, J. Math., 2022 (2022), 5815993. https://doi.org/10.1155/2022/5815993 doi: 10.1155/2022/5815993
    [40] W. Afzal, E. Y. Prosviryakov, S. M. El-Deeb, Y. Almalki, Some new estimates of Hermite-Hadamard, Ostrowski and Jensen-type inclusions for h-convex stochastic process via interval-valued functions, Symmetry, 15 (2023), 831. https://doi.org/10.3390/sym15040831 doi: 10.3390/sym15040831
    [41] W. Afzal, A. Alb Lupas, K. Shabbir, Hermite-Hadamard and Jensen-type inequalities for harmonical (h1,h2)-Godunova-Levin interval-valued functions, Mathematics, 10 (2022), 2970. https://doi.org/10.3390/math10162970 doi: 10.3390/math10162970
    [42] B. Bin-Mohsin, M. Z. Javed, M. U. Awan, A. Kashuri, On some new AB-fractional inclusion relations, Fractal Fract., 7 (2023), 725. https://doi.org/10.3390/fractalfract7100725 doi: 10.3390/fractalfract7100725
    [43] D. Zhao, G. Ye, W. Liu, D. F. Torres, Some inequalities for interval-valued functions on time scale, Soft Comput., 23 (2019), 6005–6015. https://doi.org/10.1007/s00500-018-3538-6 doi: 10.1007/s00500-018-3538-6
    [44] B. Bin-Mohsin, M. Z. Javed, M. U. Awan, B. Meftah, A. Kashuri, Fractional reverse inequalities involving generic interval-valued convex functions and applications, Fractal Fract., 8 (2024), 587. https://doi.org/10.3390/fractalfract8100587 doi: 10.3390/fractalfract8100587
    [45] A. Fahad, Y. Wang, Z. Ali, R. Hussain, S. Furuichi, Exploring properties and inequalities for geometrically arithmetically-cr-convex functions with Cr-order relative entropy, Inform. Sci., 662 (2024), 120219. https://doi.org/10.1016/j.ins.2024.120219 doi: 10.1016/j.ins.2024.120219
    [46] M. Z. Javed, M. U. Awan, L. Ciurdariu, S. S. Dragomir, Y. Almalki, On extended class of totally ordered interval-valued convex stochastic processes and applications, Fractal Fract., 8 (2024), 577. https://doi.org/10.3390/fractalfract8100577 doi: 10.3390/fractalfract8100577
    [47] S. I. Butt, D. Khan, Superquadratic function and its applications in information theory via interval calculus, Chaos Solit. Fract., 190 (2025), 115748. https://doi.org/10.1016/j.chaos.2024.115748 doi: 10.1016/j.chaos.2024.115748
    [48] D. Khan, S. I. Butt, Superquadraticity and its fractional perspective via center-radius cr-order relation, Chaos Solit. Fract., 182 (2024), 114821. https://doi.org/10.1016/j.chaos.2024.114821 doi: 10.1016/j.chaos.2024.114821
    [49] T. M. Costa, A. Flores-Franulic, Y. Chalco-Cano, I. Aguirre-Cipe, Ostrowski-type inequalities for fuzzy-valued functions and its applications in quadrature theory, Inform. Sci., 529 (2020), 101–115. https://doi.org/10.1016/j.ins.2020.04.037 doi: 10.1016/j.ins.2020.04.037
    [50] D. Zhang, C. Guo, D. Chen, G. Wang, Jensen's inequalities for set-valued and fuzzy set-valued functions, Fuzzy Sets Syst., 404 (2021), 178–204. https://doi.org/10.1016/j.fss.2020.06.003 doi: 10.1016/j.fss.2020.06.003
    [51] M. B. Khan, M. A. Noor, P. O. Mohammed, J. L. Guirao, K. I. Noor, Some integral inequalities for generalized convex fuzzy-interval-valued functions via fuzzy Riemann integrals, Int. J. Comput. Intell. Syst., 14 (2021), 158. https://doi.org/10.1007/s44196-021-00009-w doi: 10.1007/s44196-021-00009-w
    [52] M. B. Khan, H. M. Srivastava, P. O. Mohammed, J. E. Macias-Diaz, Y. S. Hamed, Some new versions of integral inequalities for log-preinvex fuzzy-interval-valued functions through fuzzy order relation, Alex. Eng. J., 61 (2022), 7089–7101. https://doi.org/10.1016/j.aej.2021.12.052 doi: 10.1016/j.aej.2021.12.052
    [53] S. Abbaszadeh, M. Eshaghi, A Hadamard-type inequality for fuzzy integrals based on r-convex functions, Soft Comput., 20 (2016), 3117–3124. https://doi.org/10.1007/s00500-015-1934-8 doi: 10.1007/s00500-015-1934-8
    [54] B. Bin-Mohsin, S. Rafique, C. Cesarano, M. Z. Javed, M. U. Awan, A. Kashuri, et al., Some general fractional integral inequalities involving LR-bi-convex fuzzy interval-valued functions, Fractal Fract., 6 (10), 565. https://doi.org/10.3390/fractalfract6100565
    [55] D. H. Hong, Berwald and Favard type inequalities for fuzzy integrals, Int. J. Uncertain. Fuzz. Knowl. Based Syst., 24 (2016), 47. https://doi.org/10.1142/S0218488516500033 doi: 10.1142/S0218488516500033
    [56] H. Agahi, M. A. Yaghoobi, A Minkowski type inequality for fuzzy integrals, J. Uncertain Syst., 4 (2010), 187–194.
    [57] Y. Wang, M. Z. Javed, M. U. Awan, B. Bin-Mohsin, B. Meftah, S. Treanta, Symmetric quantum calculus in interval valued frame work: operators and applications, AIMS Math., 9 (2024), 27664–27686. https://doi.org/10.3934/math.20241343 doi: 10.3934/math.20241343
    [58] B. Daraby, A review on some fuzzy integral inequalities, Sahand Commun. Math. Anal., 18 (2021), 153–185. https://doi.org/10.22130/scma.2022.555219.1125 doi: 10.22130/scma.2022.555219.1125
    [59] S. I. Butt, D. Khan, Integral inequalities of h-superquadratic functions and their fractional perspective with applications, Math. Meth. Appl. Sci., 48 (2025), 1952–1981. https://doi.org/10.1002/mma.10418 doi: 10.1002/mma.10418
  • This article has been cited by:

    1. Hamid Abbasi, Sara Khoshdooz, Mohammad Mehdi Abbasi, Mohammadjavad Pasand, Ghazaleh Eslamian, Shining a Light on Trace Elements: A Systematic Review and Meta-analysis of Serum Concentrations in Febrile seizure, 2024, 0163-4984, 10.1007/s12011-024-04221-5
    2. Marija Stanojević, Miro Parezanović, Aneta Popović, Svetolik Spasić, Srđan Lopičić, Vladimir Nedeljkov, Zorica Jovanović, Sonja Vučković, Revising the role of magnesium in epilepsy research and management, 2023, 4, 2737-971X, 175, 10.5937/smclk4-44498
    3. Fen Lin, Man-Tong Chen, Lin Zhang, He Xie, Zhe Yang, Bin Huang, Jian-Peng Wu, Wei-Hao Lin, Li-Ye Yang, Hospitalized children with COVID-19 infection during large outbreak of SARS-CoV-2 Omicron strain: a retrospective study in Chaozhou, Guangdong, China, 2024, 56, 0785-3890, 10.1080/07853890.2024.2389301
  • Reader Comments
  • © 2025 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(117) PDF downloads(20) Cited by(0)

Figures and Tables

Figures(4)  /  Tables(4)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog