An interpretation of intuitionistic fuzzy sets in terms of evidence theory: Decision making aspect
暂无分享,去创建一个
[1] Silvia Muzzioli,et al. Note on ranking fuzzy triangular numbers , 1998, Int. J. Intell. Syst..
[2] Jian-Bo Yang,et al. A two-stage logarithmic goal programming method for generating weights from interval comparison matrices , 2005, Fuzzy Sets Syst..
[3] Torsten Schaub,et al. Introduction to Inconsistency Tolerance , 2005, Inconsistency Tolerance.
[4] Nikola Kasabov. Fril—fuzzy and evidential reasoning in artificial intelligence , 1996 .
[5] Deng-Feng Li,et al. Multiattribute decision making models and methods using intuitionistic fuzzy sets , 2005, J. Comput. Syst. Sci..
[6] Dov M. Gabbay,et al. Handbook of Philosophical Logic , 2002 .
[7] Etienne E. Kerre,et al. Reasonable properties for the ordering of fuzzy quantities (II) , 2001, Fuzzy Sets Syst..
[8] J. Kacprzyk,et al. Group decision making under intuitionistic fuzzy preference relations , 1998 .
[9] Ronald R. Yager,et al. Multiple objective decision-making using fuzzy sets , 1977 .
[10] Robert Steven Patching,et al. Similarity based on mutual support in mass assignment linked intuitionistic fuzzy sets , 2008 .
[11] Zeshui Xu,et al. Intuitionistic Fuzzy Aggregation Operators , 2007, IEEE Transactions on Fuzzy Systems.
[12] Gui-Wu Wei,et al. GRA method for multiple attribute decision making with incomplete weight information in intuitionistic fuzzy setting , 2010, Knowl. Based Syst..
[13] Zhongsheng Hua,et al. A DS-AHP approach for multi-attribute decision making problem with incomplete information , 2008, Expert Syst. Appl..
[14] Didier Dubois,et al. Ranking fuzzy numbers in the setting of possibility theory , 1983, Inf. Sci..
[15] Jonathan Lawry. An Overview of Computing with Words using Label Semantics , 2008, Fuzzy Sets and Their Extensions: Representation, Aggregation and Models.
[16] Zeshui Xu,et al. Dynamic intuitionistic fuzzy multi-attribute decision making , 2008, Int. J. Approx. Reason..
[17] Glenn Shafer,et al. A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.
[18] Humberto Bustince,et al. Entropy on intuitionistic fuzzy sets and on interval-valued fuzzy sets , 1996, Fuzzy Sets Syst..
[19] R. Yager,et al. Intuitionistic fuzzy interpretations of multi-person multi-criteria decision making , 2002, Proceedings First International IEEE Symposium Intelligent Systems.
[20] Chris Cornelis,et al. Survey of the Research On Intuitionistic Fuzzy Sets , 2002, JCIS.
[21] Zhang Dong-feng. Multi-criteria Fuzzy Decision Making Based on Probability Degree of Vague Sets , 2008 .
[22] R. Mesiar,et al. Aggregation operators: new trends and applications , 2002 .
[23] Malcolm J. Beynon,et al. DS/AHP method: A mathematical analysis, including an understanding of uncertainty , 2002, Eur. J. Oper. Res..
[24] P. Sevastianov,et al. MCDM in a fuzzy setting: Investment projects assessment application , 2006 .
[25] Pascal Vasseur,et al. Perceptual organization approach based on Dempster-Shafer theory , 1999, Pattern Recognit..
[26] Hung T. Nguyen,et al. Uncertainty Models for Knowledge-Based Systems; A Unified Approach to the Measurement of Uncertainty , 1985 .
[27] Chris Cornelis,et al. Implication in intuitionistic fuzzy and interval-valued fuzzy set theory: construction, classification, application , 2004, Int. J. Approx. Reason..
[28] Ronald R. Yager,et al. Modeling Uncertainty Using Partial Information , 1999, Inf. Sci..
[29] R. Mesiar,et al. Aggregation operators: properties, classes and construction methods , 2002 .
[30] Catherine K. Murphy. Combining belief functions when evidence conflicts , 2000, Decis. Support Syst..
[31] Edward H. Shortliffe,et al. The Dempster-Shafer theory of evidence , 1990 .
[32] Thierry Denoeux,et al. Conjunctive and disjunctive combination of belief functions induced by nondistinct bodies of evidence , 2008, Artif. Intell..
[33] H. Zimmermann. Fuzzy sets, decision making, and expert systems , 1987 .
[34] Pavel V. Sevastjanov,et al. Two-objective method for crisp and fuzzy interval comparison in optimization , 2006, Comput. Oper. Res..
[35] Anthony Hunter,et al. Approaches to Measuring Inconsistent Information , 2005, Inconsistency Tolerance.
[36] Malcolm J. Beynon,et al. Understanding local ignorance and non-specificity within the DS/AHP method of multi-criteria decision making , 2005, Eur. J. Oper. Res..
[37] Richard W. Jones,et al. A framework for intelligent medical diagnosis using the theory of evidence , 2002, Knowl. Based Syst..
[38] Z. S. Xu,et al. The uncertain OWA operator , 2002, Int. J. Intell. Syst..
[39] Rolf Haenni,et al. Are alternatives to Dempster's rule of combination real alternatives?: Comments on "About the belief function combination and the conflict management problem" - Lefevre et al , 2002, Inf. Fusion.
[40] Zeshui Xu,et al. Some geometric aggregation operators based on intuitionistic fuzzy sets , 2006, Int. J. Gen. Syst..
[41] Ronald R. Yager,et al. Intuitionistic fuzzy graph interpretations of multi-person multi-criteria decision making , 2003, EUSFLAT Conf..
[42] Kari Sentz,et al. Combination of Evidence in Dempster-Shafer Theory , 2002 .
[43] Janusz Kacprzyk,et al. A New Similarity Measure for Intuitionistic Fuzzy Sets: Straightforward Approaches may not work , 2007, 2007 IEEE International Fuzzy Systems Conference.
[44] Eulalia Szmidt,et al. A NEW APPROACH TO RANKING ALTERNATIVES EXPRESSED VIA INTUITIONISTIC FUZZY SETS , 2008 .
[45] Humberto Bustince,et al. Mathematical analysis of interval-valued fuzzy relations: Application to approximate reasoning , 2000, Fuzzy Sets Syst..
[46] Gui-Wu Wei,et al. Maximizing deviation method for multiple attribute decision making in intuitionistic fuzzy setting , 2008, Knowl. Based Syst..
[47] Shyi-Ming Chen,et al. Handling multicriteria fuzzy decision-making problems based on vague set theory , 1994 .
[48] Przemyslaw Grzegorzewski,et al. Some notes on (Atanassov's) intuitionistic fuzzy sets , 2005, Fuzzy Sets Syst..
[49] Moti Schneider,et al. On the use of interval mathematics in fuzzy expert systems , 1994, Int. J. Intell. Syst..
[50] Humberto Bustince,et al. On the relevance of some families of fuzzy sets , 2007, Fuzzy Sets Syst..
[51] R. Yager. On the dempster-shafer framework and new combination rules , 1987, Inf. Sci..
[52] Philippe Smets,et al. Analyzing the combination of conflicting belief functions , 2007, Inf. Fusion.
[53] Marc Roubens,et al. Fuzzy Preference Modelling and Multicriteria Decision Support , 1994, Theory and Decision Library.
[54] Rajkumer Roy. ISPE International Conference on Concurrent Engineering , 2006 .
[55] Vladik Kreinovich,et al. Dirty Pages of Logarithm Tables, Lifetime of the Universe, and (Subjective) Probabilities on Finite and Infinite Intervals , 2003, Reliab. Comput..
[56] Zun-Quan Xia,et al. Multicriteria fuzzy decision-making methods based on intuitionistic fuzzy sets , 2007, J. Comput. Syst. Sci..
[57] K. Atanassov. New operations defined over the intuitionistic fuzzy sets , 1994 .
[58] W.-L. Gau,et al. Vague sets , 1993, IEEE Trans. Syst. Man Cybern..
[59] Zeshui Xu,et al. Some models for deriving the priority weights from interval fuzzy preference relations , 2008, Eur. J. Oper. Res..
[60] Pavel V. Sevastjanov,et al. Fuzzy modeling of manufacturing and logistic systems , 2003, Math. Comput. Simul..
[61] Didier Dubois,et al. Terminological difficulties in fuzzy set theory - The case of "Intuitionistic Fuzzy Sets" , 2005, Fuzzy Sets Syst..
[62] P. Sevastianov. Numerical methods for interval and fuzzy number comparison based on the probabilistic approach and Dempster-Shafer theory , 2007 .
[63] Huawen Liu,et al. Multi-criteria decision-making methods based on intuitionistic fuzzy sets , 2007, Eur. J. Oper. Res..
[64] Vladik Kreinovich,et al. Fair Division Under Interval Uncertainty , 2000, Int. J. Uncertain. Fuzziness Knowl. Based Syst..
[65] Henri Prade,et al. Representation and combination of uncertainty with belief functions and possibility measures , 1988, Comput. Intell..
[66] Zeshui Xu,et al. Note on “Some models for deriving the priority weights from interval fuzzy preference relations” , 2008 .
[67] J. Kacprzyk,et al. Advances in the Dempster-Shafer theory of evidence , 1994 .
[68] Yuri Gureoich. Intuitionistic Logic , 2008 .
[69] Chris J. Hinde,et al. Semantic transfer and contradictory evidence in intuitionistic fuzzy sets , 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).
[70] Chris J. Hinde,et al. Inconsistency and semantic unification , 2006, Fuzzy Sets Syst..
[71] Etienne E. Kerre,et al. On the position of intuitionistic fuzzy set theory in the framework of theories modelling imprecision , 2007, Inf. Sci..
[72] Ronald R. Yager,et al. Ranking Fuzzy Numbers Using a-Weighted Valuations , 2000, Int. J. Uncertain. Fuzziness Knowl. Based Syst..
[73] Pavel V. Sevastjanov. Numerical methods for interval and fuzzy number comparison based on the probabilistic approach and Dempster-Shafer theory , 2007, Inf. Sci..
[74] Zhiguo Liu,et al. Up-regulation of VLDL receptor expression and its signaling pathway induced by VLDL and β-VLDL , 2009, Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban.
[75] Krassimir T. Atanassov,et al. Intuitionistic fuzzy sets , 1986 .
[76] Chris Cornelis,et al. On the representation of intuitionistic fuzzy t-norms and t-conorms , 2004, IEEE Transactions on Fuzzy Systems.
[77] Philippe Smets,et al. The Combination of Evidence in the Transferable Belief Model , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[78] Dug Hun Hong,et al. Multicriteria fuzzy decision-making problems based on vague set theory , 2000, Fuzzy Sets Syst..
[79] Humberto Bustince,et al. Construction of fuzzy indices from fuzzy DI-subsethood measures: Application to the global comparison of images , 2007, Inf. Sci..
[80] Satoko Titani,et al. Intuitionistic fuzzy logic and intuitionistic fuzzy set theory , 1984, Journal of Symbolic Logic.
[81] Janusz Kacprzyk,et al. Applications of intuitionistic Fuzzy sets in decision making , 1998 .
[82] Pavel V. Sevastjanov,et al. Aggregation of aggregating modes in MCDM: Synthesis of Type 2 and Level 2 fuzzy sets , 2007 .
[83] Zeshui Xu,et al. Intuitionistic preference relations and their application in group decision making , 2007, Inf. Sci..
[84] Z. S. Xu,et al. Models for Multiple Attribute Decision Making with Intuitionistic Fuzzy Information , 2007, Int. J. Uncertain. Fuzziness Knowl. Based Syst..
[85] James F. Baldwin,et al. Evidential support logic programming , 1987 .
[86] Lotfi A. Zadeh,et al. A Simple View of the Dempster-Shafer Theory of Evidence and Its Implication for the Rule of Combination , 1985, AI Mag..
[87] Malcolm J. Beynon,et al. An expert system for multi-criteria decision making using Dempster Shafer theory , 2001, Expert Syst. Appl..
[88] Jian-Bo Yang,et al. A preference aggregation method through the estimation of utility intervals , 2005, Comput. Oper. Res..
[89] T. Denœux. Conjunctive and disjunctive combination of belief functions induced by nondistinct bodies of evidence , 2008 .
[90] Arthur P. Dempster,et al. Upper and Lower Probabilities Induced by a Multivalued Mapping , 1967, Classic Works of the Dempster-Shafer Theory of Belief Functions.
[91] Ranjit Biswas,et al. Some operations on intuitionistic fuzzy sets , 2000, Fuzzy Sets Syst..
[92] Humberto Bustince,et al. Vague sets are intuitionistic fuzzy sets , 1996, Fuzzy Sets Syst..