Abstract
Ranking intuitionistic fuzzy values (IFVs) and interval-valued intuitionistic fuzzy values (IVIFVs) is an important and necessary work in intuitionistic fuzzy group decision making. Since the set of all IFVs is a poset and inclusion measure indicates the degree to which a given element of a poset is contained in another one. This paper studies hybrid monotonic (HM) inclusion measures of IFVs and IVIFVs respectively and discuss their applications to group decision making. Firstly, HM inclusion measure is defined on the posets of all IFVs and IVIFVs respectively. Then HM inclusion measures are studied by constructive approach. Furthermore, the HM inclusion measures are employed to make intuitionistic and interval-valued intuitionistic fuzzy group decisions. Lastly, practical examples are provided to illustrate the developed approaches respectively.
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Abbas SE (2005) On intuitionistic fuzzy compactness. Inf Sci 173:75–91
Abbas SE, Aygun H (2006) Intuitionistic fuzzy semiregularization spaces. Inf Sci 176:745–757
Atanassov K (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20:87–96
Atanassov K (1989) More on intuitionistic fuzzy sets. Fuzzy Sets Syst 33:37–45
Atanassov K, Gargov G (1989) Interval-valued intuitionistic fuzzy sets. Fuzzy Sets Syst 31(3):343–349
Atanassov K, Pasi G, Yager RR (2002) Intuitionistic fuzzy interpretations of multi-person multi-criteria decision making, In: Proceedings of first international IEEE symposium intelligent systems, vol I, Varna, pp 115–119
Atanassov K, Georgiev C (1993) Intuitionistic fuzzy prolog. Fuzzy Sets Syst 53:121–128
Atanassov K (1994) Operators over interval-valued intuitionistic fuzzy sets. Fuzzy Sets Syst 64:159–174
Bodjanova S (1997) Approximation of fuzzy concepts in decision making. Fuzzy Sets Syst 85:23–29
Bustince H, Mohedano V, Barrenechea E, Pagola M (2006) Definition and construction of fuzzy DI-subsethood measures. Inf Sci 176:3190–3231
Bustince H, Burillo P (1995) Correlation of interval-valued intuitionistic fuzzy sets. Fuzzy Sets Syst 74:237–244
Chen SM, Tan JM (1994) Handling multi-criteria fuzzy decision-making problems based on vague set theory. Fuzzy Sets Syst 67:163–172
Chen TY (2013) An interval-valued intuitionistic fuzzy LINMAP method with inclusion comparison possibilities and hybrid averaging operations for multiple criteria group decision making. Knowl-Based Syst 45:163–172
Davvaz B, Dudek WA, Jun YB (2006) Intuitionistic fuzzy Hv-submodules. Inf Sci 176:285–300
De Baets B, De Meyer H, Naessens H (2001) A class of rational cardinality-based similarity measures. J Comput Appl Math 132:51–69
Deschrijver G, Kerre EE (2003) On the relationship between some extensions of fuzzy set theory. Fuzzy Sets Syst 133:227–235
Dudek WA, Davvaz B, Jun YB (2005) On intuitionistic fuzzy sub-hyperquasigroups of hyperquasigroups. Inf Sci 170:251–262
Fernandez JM, Salido S (2003) Murakami. Rough set analysis of a general type of fuzzy data using transitive aggregations of fuzzy similarity relations. Fuzzy Sets Syst 139:635–660
Fan J, Xie X, Pei J (1999) Subsethood measures: new definitions. Fuzzy Sets Syst 106:201–209
Hong DH, Choi CH (2000) Multicriteria fuzzy decision-making problems based on vague set theory. Fuzzy Sets Syst 114:103–113
Hong DH (1998) A note on correlation of interval-valued intuitionistic fuzzy sets. Fuzzy Sets Syst 95:113–117
Kaburlasos VG, Petridis V (1997) Fuzzy lattice neurocomputing (FLN): a novel connectionist scheme for versatile learning and decision making by clustering. Int J Comput Appl 4:31–43
Kitainik LM (1987) Fuzzy inclusions and fuzzy dichotomous decision procedures. In: Kacprzyk J, Orlovski S (eds) Optimization models using fuzzy sets and possibility theory. Reidel, Dordrecht, pp 154–170
Klir GJ, Yuan B (1995) Fuzzy logic: theory and applications. Prentice-Hall, Englewood Cliffs
Kosko B (1986) Fuzzy entropy and conditioning. Inf Sci 40:165–174
Li DF (2005) Multiattribute decision making models and methods using intuitionistic fuzzy sets. J Comput Syst Sci 70:73–85
Lin L, Yuan XH, Xia ZQ (2007) Multicriteria fuzzy decision-making methods based on intuitionistic fuzzy sets. J Comput Syst Sci 73(1):84–88
Liu H, Wang G (2007) Multicriteria decision-making methods based on intuitionistic fuzzy sets. Eur J Oper Res 179:220–233
Lupianez FG (2006) Nets and filters in intuitionistic fuzzy topological spaces. Inf Sci 176:2396–2404
Mi MJ, Wu WZ, Zhang WX (2004) Approaches to knowledge reduction based on variable precision rough set model. Inf Sci 159:255–272
Mitchell HB (2005) Pattern recognition using type-II fuzzy sets. Inf Sci 170:409–418
Mondal TK, Samanta SK (2001) Topology of interval-valued intuitionistic fuzzy sets. Fuzzy Sets Syst 119:483–494
Pei Z, Zheng L (2012) A novel approach to multi-attribute decision making based on intuitionistic fuzzy sets. Expert Syst Appl 39:2560–2566
Petridis V, Kaburlasos VG (1998) Fuzzy lattice neural network (FLNN): a hybrid model for learning. IEEE Trans Neural Netw 9:877–890
Sinha D, Dougherty ER (1993) Fuzzication of set inclusion: theory and applications. Fuzzy Sets Syst 55:15–42
Smets P, Magrez P (1987) Implication in fuzzy logic. Int J Approx Reason 1:327–347
Szmidt E, Kacprzyk J (2004) A concept of similarity for intuitionistic fuzzy sets and its use in group decision making, In: Proceedings of international joint conference on neural networks and IEEE international conference on fuzzy systems, Budapest, pp 25–29
Szmidt E, Kacprzyk J (2009) Amount of information and its reliability in the ranking of Atanassov’s intuitionistic fuzzy alternatives. In: Rakus-Andersson E, Yager RR, Ichalkaranje N, Jain LC (eds) Recent advances in decsion making. Springer, Berlin, pp 7–19
Wang WQ, Xin XL (2005) Distance measure between intuitionistic fuzzy sets. Pattern Recognit Lett 26:2063–2069
Wang XZ, Dong CR (2009) Improving generalization of fuzzy if-then rules by maximizing fuzzy entropy. IEEE Trans Fuzzy Syst 17(3):556–567
Wang XZ, Dong LC, Yan JH (2012) Maximum ambiguity based sample selection in fuzzy decision tree induction. IEEE Trans Knowl Data Eng 24(8):1491–1505
Wang XZ, Xing HJ, Li Y et al (2014) A study on relationship between generalization abilities and fuzziness of base classifiers in ensemble learning. IEEE Trans Fuzzy Syst. doi:10.1109/TFUZZ.2014.2371479
Wang ZJ, Li KW, Wang WZ (2009) An approach to multiattribute decision making with interval-valued intuitionistic fuzzy assessments and incomplete weights. Inf Sci 179:3026–3040
Xu ZB, Liang JY, Dang CY, Chin KS (2002) Inclusion degree: a perspective on measures for rough set data analysis. Inf Sci 41:227–236
Xu ZS (2007) Intuitionistic preference relations and their application in group decision making. Inf Sci 177:2363–2379
Xu ZS (2007) Intuitionistic fuzzy aggregation operators. IEEE Trans Fuzzy Syst 15:1179–1187
Xu ZS, Yager RR (2008) Dynamic intuitionistic fuzzy multiple attribute decision making. Int J Approx Reason 48:246–262
Xu ZS, Chen J (2007) An approach to group decision making based on interval-valued intuitionistic fuzzy judgment matrices. Syst Eng Theory Pract 27(4):126C133
Yao YQ, Mi JS (2010) Hybrid monotonic inclusion measure on intuitionistic fuzzy sets. Comput Sci Chin J 37(1):255–257
Ye J (2009) Multicriteria fuzzy decision-making method based on a novel accuracy function under interval-valued intuitionistic fuzzy environment. Expert Syst Appl 36(3):6899–6902
Young VR (1996) Fuzzy subsethood. Fuzzy Sets Syst 77:371C384
Zadeh LA (1965) Fuzzy sets. Inf Control 8:338–353
Zhang HY (2009) HM inclusion measure and its use in measuring similarity and distance between fuzzy sets. Fuzzy Sets Syst 160:107–118
Zhang WX, Leung Y (1996) Theory of including degrees and its applications to uncertainty inferences. In: Proceedings of the 1996 Asian fuzzy systems symposium, soft computing in intelligent systems and information processing, pp 496–501
Zhang HY, Leung Y, Zhou L (2013) Variable-precision-dominance-based rough set approach to interval-valued information systems. Inf Sci 244:75C91
Zhang WX, Leung Y, Wu WZ (2003) Information systems and knowledge discovery. Science Press, Beijing
Zhang WX, Leung Y, Xu P (2007) Uncertainty reasoning based on inclusion degree. Tsinghua University Press, Beijing
Zhang WX, Qiu GF (2005) Uncertain decision making based on rough sets. Tsinghua University Press, Beijing
Zhang XM, Xu ZS (2012) A new method for ranking intuitionistic fuzzy values and its application in multi-attribute decision making. Fuzzy Optim Decis Mak 11:135–146
Acknowledgments
This work was supported by grants from the National Natural Science Foundation of China (Nos. 61005042 and 11071281), the Natural Science Foundation of Shaanxi Province (No. 2014JQ8348) and the Fundamental Research Funds for the Central Universities.
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Zhang, HY., Yang, SY. & Yue, ZW. On inclusion measures of intuitionistic and interval-valued intuitionistic fuzzy values and their applications to group decision making. Int. J. Mach. Learn. & Cyber. 7, 833–843 (2016). https://doi.org/10.1007/s13042-015-0410-1
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DOI: https://doi.org/10.1007/s13042-015-0410-1