Model for evaluating the mechanical product design quality with dual hesitant fuzzy information

This paper starts with discussing the problem of evaluating the mechanical product design quality with dual hesitant fuzzy information in context of decision making solutions based on multiple attributes. And then, based on the induced Choquet ordered averaging (I-COA) operator, this paper further present the induced dual hesitant fuzzy Hamacher correlated averaging (IDHFHCA) operator. Furthermore, this research devised an application model that tries to provide treatments of current difficulties of the multiple attribute decision making under dual hesitant fuzzy environment. At last, a practical example for evaluating the mechanical production design quality is illustrated to show the proposed idea and prove its usability and performance.

[1]  Humberto Bustince,et al.  On averaging operators for Atanassov's intuitionistic fuzzy sets , 2011, Inf. Sci..

[2]  J. H. Park,et al.  Extension of the TOPSIS method for decision making problems under interval-valued intuitionistic fuzzy environment , 2011 .

[3]  Zeshui Xu,et al.  Dual Hesitant Fuzzy Sets , 2012, J. Appl. Math..

[4]  Jin-Han Park,et al.  Correlation coefficient of interval-valued intuitionistic fuzzy sets and its application to multiple attribute group decision making problems , 2009, Math. Comput. Model..

[5]  G. W. Wei,et al.  Some Geometric Aggregation Functions and their Application to Dynamic Multiple Attribute Decision Making in the Intuitionistic Fuzzy Setting , 2009, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[6]  Guiwu Wei,et al.  Some induced geometric aggregation operators with intuitionistic fuzzy information and their application to group decision making , 2010, Appl. Soft Comput..

[7]  Peide Liu,et al.  Some Hamacher Aggregation Operators Based on the Interval-Valued Intuitionistic Fuzzy Numbers and Their Application to Group Decision Making , 2014, IEEE Transactions on Fuzzy Systems.

[8]  Z. S. Xu,et al.  An overview of operators for aggregating information , 2003, Int. J. Intell. Syst..

[9]  Solomon Tesfamariam,et al.  Environmental decision-making under uncertainty using intuitionistic fuzzy analytic hierarchy process (IF-AHP) , 2009 .

[10]  Guiwu Wei,et al.  Dual hesitant fuzzy aggregation operators in multiple attribute decision making , 2014, J. Intell. Fuzzy Syst..

[11]  V. Lakshmana Gomathi Nayagam,et al.  Ranking of interval-valued intuitionistic fuzzy sets , 2011, Appl. Soft Comput..

[12]  Ching-Hsue Cheng,et al.  Using intuitionistic fuzzy sets for fault-tree analysis on printed circuit board assembly , 2006, Microelectron. Reliab..

[13]  Ming-yuan Chen,et al.  An interactive method for dynamic intuitionistic fuzzy multi-attribute group decision making , 2011, Expert Syst. Appl..

[14]  Francisco Herrera,et al.  The ordered weighted Geometric operator: properties and application in MCDM problems , 2000 .

[15]  V. Lakshmana Gomathi Nayagam,et al.  Multi-criteria decision-making method based on interval-valued intuitionistic fuzzy sets , 2011, Expert Syst. Appl..

[16]  G. Wei,et al.  Some Geometric Aggregation Operators Based on Interval-Valued Intuitionistic Fuzzy Sets and their Application to Group Decision Making , 2007 .

[17]  Ronald R. Yager,et al.  Induced aggregation operators , 2003, Fuzzy Sets Syst..