Circumcenter of centroid in ranking fuzzy number: A case of generalized trapezoidal fuzzy numbers

Many approaches have been proposed to quest appropriate methods in ranking fuzzy numbers. Due to the flexibility of fuzzy numbers, most of these methods are not able to calculate all kinds of ranking fuzzy numbers and some of them give inconsistent and counter intuitive results. As a result, the final ranking sometimes fails to discriminate fuzzy numbers effectively. This paper aims to propose a new method for ranking fuzzy numbers using the circumcenter of centroid with the hope to reduce the problem of indiscriminate in the ranking. The new method mainly considers the distance, the spread, the height and the area of fuzzy numbers to compute the ranking order. The calculation for the new method is derived from generalized trapezoidal fuzzy numbers and circumcenter concepts. A numerical example is given to illustrate the calculation more explicitly.

[1]  Evangelos Triantaphyllou,et al.  Development and evaluation of five fuzzy multiattribute decision-making methods , 1996, Int. J. Approx. Reason..

[2]  S. Rezvani A NEW METHOD FOR RANKING IN PERIMETERS OF TWO GENERALIZED TRAPEZOIDAL FUZZY NUMBERS , 2013 .

[3]  Shigeaki Mabuchi,et al.  An approach to the comparison of fuzzy subsets with an α-cut dependent index , 1988, IEEE Trans. Syst. Man Cybern..

[4]  Shyi-Ming Chen,et al.  A new method for analyzing fuzzy risk based on a new fuzzy ranking method between generalized fuzzy numbers , 2009, 2009 International Conference on Machine Learning and Cybernetics.

[5]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[6]  Shan-Huo Chen Ranking fuzzy numbers with maximizing set and minimizing set , 1985 .

[7]  G. Bortolan,et al.  A review of some methods for ranking fuzzy subsets , 1985 .

[8]  M. Vila,et al.  A procedure for ranking fuzzy numbers using fuzzy relations , 1988 .

[9]  Ramesh Jain,et al.  DECISION MAKING IN THE PRESENCE OF FUZZY VARIABLES , 1976 .

[10]  Jian-Bo Yang,et al.  On the centroids of fuzzy numbers , 2006, Fuzzy Sets Syst..

[11]  Shuo-Yan Chou,et al.  An Improved Ranking Method for Fuzzy Numbers Based on the Centroid-Index , 2012 .

[12]  S. Rezvani GENERALIZED TRAPEZOIDAL FUZZY NUMBERS , 2013 .

[13]  Marc Roubens,et al.  Ranking and defuzzification methods based on area compensation , 1996, Fuzzy Sets Syst..

[14]  S. M. Baas,et al.  Rating and ranking of multiple-aspect alternatives using fuzzy sets , 1976, at - Automatisierungstechnik.

[15]  T. Bogdanik [Use of fuzzy set theory in diagnostics]. , 1995, Polskie Archiwum Medycyny Wewnetrznej.

[16]  Li-Li Wei,et al.  An improved method for ranking fuzzy numbers based on the centroids , 2010, 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery.

[17]  N. Ravi Shankar,et al.  Ranking Fuzzy Numbers with a Distance Method using Circumcenter of Centroids and an Index of Modality , 2011, Adv. Fuzzy Syst..

[18]  Gaëlle Largeteau-Skapin,et al.  Generalized Perpendicular Bisector and Circumcenter , 2010, CompIMAGE.

[19]  Soheil Sadi-Nezhad,et al.  Ranking fuzzy numbers by preference ratio , 2001, Fuzzy Sets Syst..

[20]  Ching-Hsue Cheng,et al.  A new approach for ranking fuzzy numbers by distance method , 1998, Fuzzy Sets Syst..

[21]  E. Lee,et al.  Comparison of fuzzy numbers based on the probability measure of fuzzy events , 1988 .

[22]  Madan M. Gupta,et al.  Fuzzy mathematical models in engineering and management science , 1988 .

[23]  Shyi-Ming Chen,et al.  Fuzzy risk analysis based on ranking generalized fuzzy numbers with different heights and different spreads , 2009, Expert Syst. Appl..

[24]  Didier Dubois,et al.  Ranking fuzzy numbers in the setting of possibility theory , 1983, Inf. Sci..

[25]  Bih-Sheue Shieh,et al.  An Approach to Centroids of Fuzzy Numbers , 2007 .

[26]  Liang-Hsuan Chen,et al.  An approximate approach for ranking fuzzy numbers based on left and right dominance , 2001 .

[27]  R. Goetschel,et al.  Elementary fuzzy calculus , 1986 .

[28]  R. Yager On a general class of fuzzy connectives , 1980 .