The Pentagonal Fuzzy Number: Its Different Representations, Properties, Ranking, Defuzzification and Application in Game Problems

In this paper, different measures of interval-valued pentagonal fuzzy numbers (IVPFN) associated with assorted membership functions (MF) were explored, considering significant exposure of multifarious interval-valued fuzzy numbers in neoteric studies. Also, the idea of MF is generalized somewhat to nonlinear membership functions for viewing the symmetries and asymmetries of the pentagonal fuzzy structures. Accordingly, the construction of level sets, for each case of linear and nonlinear MF was also carried out. Besides, defuzzification was undertaken using three methods and a ranking method, which were also the main features of this framework. The developed intellects were implemented in a game problem by taking the parameters as PFNs, ultimately resulting in a new direction for modeling real world problems and to comprehend the uncertainty of the parameters more precisely in the evaluation process.

[1]  Xinwang Liu,et al.  Ranking fuzzy numbers with preference weighting function expectations , 2005 .

[2]  S. Mondal,et al.  Non-linear interval-valued fuzzy numbers and their application in difference equations , 2018 .

[3]  Amit Kumar,et al.  Sensitivity Analysis for Interval-valued Fully Fuzzy Linear Programming Problems , 2012 .

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

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

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

[7]  Shyi-Ming Chen,et al.  A NEW METHOD FOR HANDLING MULTICRITERIA FUZZY DECISION-MAKING PROBLEMS USING FN-IOWA OPERATORS , 2003, Cybern. Syst..

[8]  Logah Perumal,et al.  Largest of maximum (LOM) method for switching fuzzy control system , 2008 .

[9]  Madhumangal Pal,et al.  A study on pentagonal fuzzy number and its corresponding matrices , 2015 .

[10]  D. Dubois,et al.  Operations on fuzzy numbers , 1978 .

[11]  Feng-Tse Lin Fuzzy job-shop scheduling based on ranking level (λ, 1) interval-valued fuzzy numbers , 2002, IEEE Trans. Fuzzy Syst..

[12]  Hsuan-Shih Lee,et al.  The revised method of ranking fuzzy numbers with an area between the centroid and original points , 2008, Comput. Math. Appl..

[13]  Lotfi A. Zadeh,et al.  On Fuzzy Mapping and Control , 1996, IEEE Trans. Syst. Man Cybern..

[14]  Jin-Shieh Su Fuzzy Programming Based on Interval-Valued Fuzzy Numbers and Ranking , 2007 .

[15]  Shyi-Ming Chen,et al.  Fuzzy risk analysis based on the ranking of generalized trapezoidal fuzzy numbers , 2007, Applied Intelligence.

[16]  D. Dubois,et al.  Fundamentals of fuzzy sets , 2000 .

[17]  S. Mondal,et al.  Pentagonal fuzzy number, its properties and application in fuzzy equation , 2017 .

[18]  Qi Liu,et al.  A TOPSIS-BASED CENTROID–INDEX RANKING METHOD OF FUZZY NUMBERS AND ITS APPLICATION IN DECISION-MAKING , 2005, Cybern. Syst..

[19]  Qi Liu,et al.  Ranking fuzzy numbers with an area method using radius of gyration , 2006, Comput. Math. Appl..

[20]  Liang-Hsuan Chen,et al.  The preference order of fuzzy numbers , 2002 .

[21]  Ronald R. Yager Knowledge-based defuzzification , 1996, Fuzzy Sets Syst..

[22]  Xiaoping Li,et al.  The applications of interval-valued fuzzy numbers and interval-distribution numbers , 1998, Fuzzy Sets Syst..

[23]  Bo Feng,et al.  Ranking L-R fuzzy number based on deviation degree , 2009, Inf. Sci..

[24]  Tao Jiang,et al.  Generalized defuzzification strategies and their parameter learning procedures , 1996, IEEE Trans. Fuzzy Syst..

[25]  B. Asady,et al.  The revised method of ranking LR fuzzy number based on deviation degree , 2010, Expert Syst. Appl..

[26]  Dimitar P. Filev,et al.  A generalized defuzzification method via bad distributions , 1991, Int. J. Intell. Syst..

[27]  Ta-Chung Chu,et al.  COA defuzzification method for evaluating Cpk under fuzzy environments , 2004 .

[28]  Xiaoping Li,et al.  Correlation and information energy of interval-valued fuzzy numbers , 1999, Fuzzy Sets Syst..

[29]  Edmundas Kazimieras Zavadskas,et al.  A Novel Approach for Evaluation of Projects Using an Interval-Valued Fuzzy Additive Ratio Assessment (ARAS) Method: A Case Study of Oil and Gas Well Drilling Projects , 2018, Symmetry.

[30]  Sankar Prasad Mondal,et al.  Differential equation with interval valued fuzzy number and its applications , 2016, Int. J. Syst. Assur. Eng. Manag..

[31]  T. Chu,et al.  Ranking fuzzy numbers with an area between the centroid point and original point , 2002 .

[32]  Saeid Abbasbandy,et al.  A new approach for ranking of trapezoidal fuzzy numbers , 2009, Comput. Math. Appl..

[33]  Ali Ebrahimnejad A method for solving linear programming with interval-valued trapezoidal fuzzy variables , 2018, RAIRO Oper. Res..

[34]  Shyi-Ming Chen,et al.  A new approach for fuzzy risk analysis based on similarity measures of generalized fuzzy numbers , 2009, Expert Syst. Appl..

[35]  Saeid Abbasbandy,et al.  Ranking of fuzzy numbers by sign distance , 2006, Inf. Sci..

[36]  Tapan Kumar Roy,et al.  Adaptive strategies for system of fuzzy differential equation: application of arms race model , 2018 .