Yager Index and Ranking for Interval Type-2 Fuzzy Numbers

This paper presents a ranking method, two distances, and some definitions for ordering interval type-2 fuzzy numbers based on the Yager index for type-1 fuzzy numbers. The proposed Yager index provides closed equations for the central tendency of well-defined interval type-2 fuzzy numbers. Some numerical examples are given, a comparison to the centroid of an interval type-2 fuzzy number is performed, and some interpretation issues are discussed.

[1]  Juan Carlos Figueroa García,et al.  An approximation method for Type reduction of an Interval Type-2 fuzzy set based on α-cuts , 2012, 2012 Federated Conference on Computer Science and Information Systems (FedCSIS).

[2]  Woei Wan Tan,et al.  Towards an efficient type-reduction method for interval type-2 fuzzy logic systems , 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

[3]  H. B. Mitchell Ranking type-2 fuzzy numbers , 2006, IEEE Transactions on Fuzzy Systems.

[4]  Humberto Bustince,et al.  Interval-valued Fuzzy Sets in Soft Computing , 2010, Int. J. Comput. Intell. Syst..

[5]  Richard Bellman,et al.  Decision-making in fuzzy environment , 2012 .

[6]  R. Baker Kearfott,et al.  Introduction to Interval Analysis , 2009 .

[7]  Jerry M. Mendel,et al.  A Vector Similarity Measure for Interval Type-2 Fuzzy Sets , 2007, 2007 IEEE International Fuzzy Systems Conference.

[8]  Ronald R. Yager,et al.  A procedure for ordering fuzzy subsets of the unit interval , 1981, Inf. Sci..

[9]  Jerry M. Mendel,et al.  Perceptual Computing: Aiding People in Making Subjective Judgments , 2010 .

[10]  Juan Carlos Figueroa García,et al.  A centroid-based approach for solving linear programming problems with Interval Type-2 Fuzzy technological coefficients , 2015, 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC).

[11]  Etienne E. Kerre,et al.  Reasonable properties for the ordering of fuzzy quantities (II) , 2001, Fuzzy Sets Syst..

[12]  Robert Ivor John,et al.  Type-2 Fuzzy Alpha-Cuts , 2017, IEEE Transactions on Fuzzy Systems.

[13]  Humberto Bustince,et al.  Interval-valued fuzzy sets constructed from matrices: Application to edge detection , 2009, Fuzzy Sets Syst..

[14]  J. Figueroa-García,et al.  On the computation of the distance between Interval Type-2 Fuzzy numbers using a-cuts , 2014, 2014 IEEE Conference on Norbert Wiener in the 21st Century (21CW).

[15]  Jerry M. Mendel,et al.  Enhanced Karnik--Mendel Algorithms , 2009, IEEE Transactions on Fuzzy Systems.

[16]  J. Ramík,et al.  Inequality relation between fuzzy numbers and its use in fuzzy optimization , 1985 .

[17]  Juan Carlos Figueroa García,et al.  Multi-period Mixed Production Planning with uncertain demands: Fuzzy and interval fuzzy sets approach , 2012, Fuzzy Sets Syst..

[18]  Yurilev Chalco-Cano,et al.  On invex fuzzy mappings and fuzzy variational-like inequalities , 2012, Fuzzy Sets Syst..

[19]  Jerry M. Mendel,et al.  Interval Type-2 Fuzzy Logic Systems Made Simple , 2006, IEEE Transactions on Fuzzy Systems.

[20]  B. Kosko Fuzziness vs. probability , 1990 .

[21]  H. Rommelfanger Fuzzy linear programming and applications , 1996 .

[22]  Jerry M. Mendel,et al.  A comparative study of ranking methods, similarity measures and uncertainty measures for interval type-2 fuzzy sets , 2009, Inf. Sci..

[23]  J. C. Figueroa García A general model for linear programming with interval type-2 fuzzy technological coefficients , 2012, 2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS).

[24]  Yurilev Chalco-Cano,et al.  On Computing the Footprint of Uncertainty of an Interval Type-2 Fuzzy Set as Uncertainty Measure , 2016, WEA.

[25]  J. Mendel Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions , 2001 .

[26]  Etienne E. Kerre,et al.  Reasonable properties for the ordering of fuzzy quantities (II) , 2001, Fuzzy Sets Syst..

[27]  J. C. García A general model for linear programming with interval type-2 fuzzy technological coefficients , 2012 .

[28]  Lotfi A. Zadeh,et al.  The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[29]  Y. Chalco-Cano,et al.  Comparation between some approaches to solve fuzzy differential equations , 2009, Fuzzy Sets Syst..

[30]  Kuo-Ping Chiao,et al.  A New Ranking Approach for General Interval Type 2 Fuzzy Sets Using Extended Alpha Cuts Representation , 2015, 2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE).

[31]  Miin-Shen Yang,et al.  Similarity Measures Between Type-2 Fuzzy Sets , 2004, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[32]  Hung T. Nguyen,et al.  Computing Degrees of Subsethood and Similarity for Interval-Valued Fuzzy Sets: Fast Algorithms , 2008 .

[33]  Kuo-Ping Chiao,et al.  Ranking type 2 fuzzy sets by parametric embedded representation , 2015, 2015 International Conference on Machine Learning and Cybernetics (ICMLC).

[34]  Lotfi A. Zadeh,et al.  The concept of a linguistic variable and its application to approximate reasoning-III , 1975, Inf. Sci..

[35]  Miguel A. Melgarejo,et al.  A Proposal to Speed up the Computation of the Centroid of an Interval Type-2 Fuzzy Set , 2013, Adv. Fuzzy Syst..

[36]  Jerry M. Mendel,et al.  Advances in type-2 fuzzy sets and systems , 2007, Inf. Sci..

[37]  Dongrui Wu,et al.  Enhanced Karnik-Mendel Algorithms for Interval Type-2 Fuzzy Sets and Systems , 2007, NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society.

[38]  Kuo-Ping Chiao,et al.  Ranking interval type 2 fuzzy sets using parametric graded mean integration representation , 2016, 2016 International Conference on Machine Learning and Cybernetics (ICMLC).

[39]  I. Turksen Interval-valued fuzzy sets and “compensatory AND” , 1992 .

[40]  George J. Klir,et al.  Fuzzy sets, uncertainty and information , 1988 .

[41]  Azriel Rosenfeld,et al.  A Modified Hausdorff Distance Between Fuzzy Sets , 1999, Inf. Sci..

[42]  Yurilev Chalco-Cano,et al.  Distance measures for Interval Type-2 fuzzy numbers , 2015, Discret. Appl. Math..