Call for Papers for the 27th International Conference on Intuitionistic Fuzzy Sets is now open!
Conference: 5–6 July 2024, Burgas, Bulgaria • EXTENDED DEADLINE for submissions: 15 APRIL 2024.
Conference: 5–6 July 2024, Burgas, Bulgaria • EXTENDED DEADLINE for submissions: 15 APRIL 2024.
Issue:Intuitionistic fuzzy sets in group decision making – A novel approach: Difference between revisions
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| email-after-at = ibspan.waw.pl | | email-after-at = ibspan.waw.pl | ||
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| issue = [[Notes on Intuitionistic Fuzzy Sets/30/2|Notes on Intuitionistic Fuzzy Sets, Volume 30 (2024), Number 2]], pages | | conference = Proceedings of the 27th [[International Conference on Intuitionistic Fuzzy Sets]], 5–6 July 2024, Burgas, Bulgaria | ||
| issue = [[Notes on Intuitionistic Fuzzy Sets/30/2|Notes on Intuitionistic Fuzzy Sets, Volume 30 (2024), Number 2]], pages 101–112 | |||
| doi = https://doi.org/10.7546/nifs.2024.30.2.101-112 | | doi = https://doi.org/10.7546/nifs.2024.30.2.101-112 | ||
| file = NIFS-30-2-101-112.pdf | | file = NIFS-30-2-101-112.pdf | ||
| format = PDF | | format = PDF | ||
| size = 188 | | size = 188 | ||
| abstract = We use the natural properties of intuitionistic fuzzy sets (IFSs for short) to represent the pros, cons, and lack of knowledge concerning different options/alternatives, aiding in decision making, particularly in group decision making. We present a novel approach. | | abstract = We use the natural properties of intuitionistic fuzzy sets (IFSs for short) to represent the pros, cons, and lack of knowledge concerning different options/alternatives, aiding in decision making, particularly in group decision making. We present a novel approach. We do not compare options/alternatives in pairs, we do not use distances. The approach is transparent and easily understandable for decision makers. The novel method points out the best option by ranking them. | ||
We do not compare options/alternatives in pairs, we do not use distances. The approach is transparent and easily understandable for decision makers. The novel method points out the best option by ranking them. | |||
| keywords = Intuitionistic fuzzy sets, Decision making, Group decision making, Ranking | | keywords = Intuitionistic fuzzy sets, Decision making, Group decision making, Ranking | ||
| ams = 03E72. | | ams = 03E72. | ||
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# Roeva, O., & Michalikova, A. (2013). [[Issue:Generalized net model of intuitionistic fuzzy logic control of genetic algorithm parameters|Generalized net model of intuitionistic fuzzy logic control of genetic algorithm parameters]]. Notes on Intuitionistic Fuzzy Sets, 19(2), 71–76. | # Roeva, O., & Michalikova, A. (2013). [[Issue:Generalized net model of intuitionistic fuzzy logic control of genetic algorithm parameters|Generalized net model of intuitionistic fuzzy logic control of genetic algorithm parameters]]. Notes on Intuitionistic Fuzzy Sets, 19(2), 71–76. | ||
# Szmidt, E. (2014). Distances and Similarities in Intuitionistic Fuzzy Sets. Springer. | # Szmidt, E. (2014). Distances and Similarities in Intuitionistic Fuzzy Sets. Springer. | ||
# Szmidt, E., & Baldwin. J. (2003). [[Issue:New similarity | # Szmidt, E., & Baldwin. J. (2003). [[Issue:New similarity measures for intuitionistic fuzzy set theory and mass assignment theory|New similarity measures for intuitionistic fuzzy set theory and mass assignment theory]]. Notes on Intuitionistic Fuzzy Sets, 9(3), 60–76. | ||
# Szmidt, E., & Baldwin, J. (2004). [[Issue:Entropy for intuitionistic fuzzy set theory and mass assignment theory|Entropy for intuitionistic fuzzy set theory and mass assignment theory]]. Notes on Intuitionistic Fuzzy Sets, 10(3), 15–28. | # Szmidt, E., & Baldwin, J. (2004). [[Issue:Entropy for intuitionistic fuzzy set theory and mass assignment theory|Entropy for intuitionistic fuzzy set theory and mass assignment theory]]. Notes on Intuitionistic Fuzzy Sets, 10(3), 15–28. | ||
# Szmidt, E., & Baldwin, J. (2006). Intuitionistic Fuzzy Set Functions, Mass Assignment Theory, Possibility Theory and Histograms. Proceedings of 2006 IEEE World Congress on Computational Intelligence, 237–243. | # Szmidt, E., & Baldwin, J. (2006). Intuitionistic Fuzzy Set Functions, Mass Assignment Theory, Possibility Theory and Histograms. Proceedings of 2006 IEEE World Congress on Computational Intelligence, 237–243. | ||
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# Szmidt, E., & Kacprzyk, J. (2002). Evaluation of Agreement in a Group of Experts via Distances Between Intuitionistic Fuzzy Sets. Proceedings of Int. IEEE Symposium on Intelligent Systems IEEE-IS’2002, Varna, Bulgaria, 166–170. | # Szmidt, E., & Kacprzyk, J. (2002). Evaluation of Agreement in a Group of Experts via Distances Between Intuitionistic Fuzzy Sets. Proceedings of Int. IEEE Symposium on Intelligent Systems IEEE-IS’2002, Varna, Bulgaria, 166–170. | ||
# Szmidt, E., & Kacprzyk, J. (2004). A Concept of Similarity for Intuitionistic Fuzzy Sets and its use in Group Decision Making. Proceedings of 2004 IEEE Conf. on Fuzzy Systems, Budapest, 1129–1134. | # Szmidt, E., & Kacprzyk, J. (2004). A Concept of Similarity for Intuitionistic Fuzzy Sets and its use in Group Decision Making. Proceedings of 2004 IEEE Conf. on Fuzzy Systems, Budapest, 1129–1134. | ||
# Szmidt, E., & Kacprzyk, J. (2005). [[New_measures_of_entropy_for_intuitionistic_fuzzy_sets|New Measures of Entropy for Intuitionistic Fuzzy Sets]]. Notes on Intuitionistic Fuzzy Sets, 11(2), 12–20. | # Szmidt, E., & Kacprzyk, J. (2005). [[Issue:New_measures_of_entropy_for_intuitionistic_fuzzy_sets|New Measures of Entropy for Intuitionistic Fuzzy Sets]]. Notes on Intuitionistic Fuzzy Sets, 11(2), 12–20. | ||
# Szmidt, E., & Kacprzyk, J. (2005). Distances Between Intuitionistic Fuzzy Sets and their Applications in Reasoning. In: Halgamuge, S., & Wang, L. (Eds.). Computational Intelligence for Modelling and Prediction. Studies in Computational Intelligence, 2, 101–116, Springer. | # Szmidt, E., & Kacprzyk, J. (2005). Distances Between Intuitionistic Fuzzy Sets and their Applications in Reasoning. In: Halgamuge, S., & Wang, L. (Eds.). Computational Intelligence for Modelling and Prediction. Studies in Computational Intelligence, 2, 101–116, Springer. | ||
# Szmidt, E., & Kacprzyk, J. (2005). A New Concept of a Similarity Measure for Intuitionistic Fuzzy Sets and its Use in Group Decision Making. In: Torra, V., Narukawa, Y., & Miyamoto, S. (Eds.). Modelling Decisions for Artificial Intelligence. LNAI 3558, 272–282, Springer. | # Szmidt, E., & Kacprzyk, J. (2005). A New Concept of a Similarity Measure for Intuitionistic Fuzzy Sets and its Use in Group Decision Making. In: Torra, V., Narukawa, Y., & Miyamoto, S. (Eds.). Modelling Decisions for Artificial Intelligence. LNAI 3558, 272–282, Springer. |
Latest revision as of 20:45, 1 July 2024
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