Open Access
Issue
JNWPU
Volume 43, Number 6, December 2025
Page(s) 1235 - 1245
DOI https://doi.org/10.1051/jnwpu/20254361235
Published online 02 February 2026
  1. ATANASSOV K. Intuitionistic fuzzy sets[J]. Fuzzy Sets System, 1986, 20(1): 87–96. [Article] [Google Scholar]
  2. ALI W, SHAHEEN T, HAQ I U, et al. Multiple-attribute decision making based on intuitionistic hesitant fuzzy connection set environment[J]. Symmetry, 2023, 15(3): 778. [Article] [Google Scholar]
  3. KUMAR R, KUMAR S. A novel intuitionistic fuzzy similarity measure with applications in decision-making, pattern recognition, and clustering problems[J]. Granular Computing, 2023, 8(5): 1027–1050. [Article] [Google Scholar]
  4. YU Peng, LI Ranran. (N, U)-implication: a kind of new fuzzy implication constructed by uninorms and fuzzy negation[J]. Journal of Shandong University, 2023, 58(5): 1–9 (in Chinese) [Google Scholar]
  5. WU X, TANG H, ZHU Z, et al. Nonlinear strict distance and similarity measures for intuitionistic fuzzy sets with applications to pattern classification and medical diagnosis[J]. Scientific Reports, 2023, 13(1): 13918. [Article] [Google Scholar]
  6. BUSTINCE H, FERNANDEZ J, MESIAR R, et al. Overlap functions[J]. Nonlinear Analysis: Theory, Methods & Applications, 2010, 72(3/4): 1488–1499 [Google Scholar]
  7. DIMURO G P, BEDREGAL B. On residual implications derived from overlap functions[J]. Information Sciences, 2015, 312: 78–88. [Article] [Google Scholar]
  8. DIMURO G P, BEDREGAL B, BUSTINCE H, et al. On additive generators of overlap functions[J]. Fuzzy Sets and Systems, 2016, 287: 76–96. [Article] [Google Scholar]
  9. QIAO J. On discrete quasi-overlap functions[J]. Information Sciences, 2022, 584: 603–617. [Article] [Google Scholar]
  10. ELKANO M, GALAR M, SANZ J A, et al. Enhancing multiclass classification in FARC-HD fuzzy classifier: on the synergy between n-dimensional overlap functions and decomposition strategies[J]. IEEE Trans on Fuzzy Systems, 2014, 23(5): 1562–1580 [Google Scholar]
  11. QIAO J, HU B Q. On interval additive generators of interval overlap functions and interval grouping functions[J]. Fuzzy Sets and Systems, 2017, 323: 19–55. [Article] [Google Scholar]
  12. WEN X, ZHANG X, LEI T. Intuitionistic fuzzy(IF) overlap functions and IF-rough sets with applications[J]. Symmetry, 2021, 13(8): 1494. [Article] [Google Scholar]
  13. PUŠKA A, BEGANOVIC A I, ŠADIC S. Model for investment decision making by applying the multi-criteria analysis method[J]. Serbian Journal of Management, 2018, 13(1): 7–28. [Article] [Google Scholar]
  14. YU Peng, DANG Siyu, LI Ranran. U-modus ponens, U-modus tollens and U-hypothetical syllogism property of(G, N)-implication[J]. Journal of Shaanxi University of Science & Technology, 2024, 42(2): 224–232 (in Chinese) [Google Scholar]
  15. PARASKEVAS A, MADAS M. A hybrid decision-making conceptual framework based on generalized information quality under neutrosophic evidence theory: a comparative analysis[J]. Operational Research, 2025, 25(1): 1–23. [Article] [Google Scholar]
  16. SONG H X, YU P, LIU H. From pre-(quasi-) grouping functions to directional monotonic fuzzy implications[J]. Fuzzy Sets and Systems, 2023, 466: 108445. [Article] [Google Scholar]
  17. WU Y, XU C, HUANG Y, et al. Green supplier selection of electric vehicle charging based on Choquet integral and type-2 fuzzy uncertainty[J]. Soft Computing, 2020, 24(5): 3781–3795. [Article] [Google Scholar]
  18. ZADEH L A. Fuzzy sets[J]. Information and control, 1965, 8(3): 338–353. [Article] [Google Scholar]
  19. XU Z S, YAGER R R. Some geometric aggregation operators based on intuitionistic fuzzy sets[J]. International Journal of General Systems, 2006, 35(4): 417–433. [Article] [Google Scholar]
  20. XU Z. Intuitionistic fuzzy aggregation operators[J]. IEEE Trans on Fuzzy Systems, 2007, 15(6): 1179–1187. [Article] [Google Scholar]
  21. HONG D H, CHOI C H. Multicriteria fuzzy decision-making problems based on vague set theory[J]. Fuzzy Sets and Systems, 2000, 114(1): 103–113. [Article] [Google Scholar]
  22. URBANSKI M K, WA J. Fuzzy measurement theory[J]. Measurement, 2008, 41(4): 391–402. [Article] [Google Scholar]
  23. CHOQUET Gustave. Theory of capacities[C]//Annales de l'Institut Fourier, 1954: 131–295 [Google Scholar]
  24. XU Z. Choquet integrals of weighted intuitionistic fuzzy information[J]. Information Sciences, 2010, 180(5): 726–736. [Article] [Google Scholar]
  25. BAN A, FECHETE I. Componentwise decomposition of some lattice-valued fuzzy integrals[J]. Information Sciences, 2007, 177(6): 1430–1440. [Article] [Google Scholar]
  26. LI Lu. Intuitionistic fuzzy Choquet integrals and their application in modeling linguistic quantifiers[D]. Xi'an: Shaanxi Normal University, 2011 (in Chinese) [Google Scholar]
  27. MUROFUSHI T, SUGENO M. Fuzzy measures and fuzzy integrals[J]. Fuzzy Measures and Integrals: Theory and Applications, 2000, 2000: 3–41 [Google Scholar]
  28. TAN C, CHEN X. Intuitionistic fuzzy Choquet integral operator for multi-criteria decision making[J]. Expert Systems with Applications, 2010, 37(1): 149–157. [Article] [Google Scholar]
  29. SHAHRYARI NIA A, OLFAT L, ESMAEILI A, et al. Using fuzzy Choquet Integral operator for supplier selection with environmental considerations[J]. Journal of Business Economics and Management, 2016, 17(4): 503–526. [Article] [Google Scholar]

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