Interval-Valued Induced Averaging Aggregation Operator and Its Application in Group Decision Making with Intuitionistic Fuzzy Information

Yager and Filev (1999) introduced induced ordered weighted averaging (IOWA) operator which is a generalized version of ordered weighted averaging (OWA) operator. In IOWA operator, the ordering of the arguments is induced by a variable, called the order inducing variable. This paper introduces interval-valued inducing variable which is a general form of inducing variable. This paper also proposes an aggregation operator called induced intuitionistic fuzzy ordered weighted averaging (I-IFOWA) operator using the sub-interval of membership function and interval-valued inducing variable. Then we present an algorithmic approach to show the applicability of the proposed operator in multiple attribute group decision making (MAGDM) problems. Finally the algorithm has been illustrated through a case study.

[1]  Yejun Xu,et al.  The induced generalized aggregation operators for intuitionistic fuzzy sets and their application in group decision making , 2012, Appl. Soft Comput..

[2]  Guiwu Wei,et al.  Some Induced Aggregating Operators with Fuzzy Number Intuitionistic Fuzzy Information and their Applications to Group Decision Making , 2010, Int. J. Comput. Intell. Syst..

[3]  Dimitar Filev,et al.  Induced ordered weighted averaging operators , 1999, IEEE Trans. Syst. Man Cybern. Part B.

[4]  Zeshui Xu,et al.  Intuitionistic Fuzzy Aggregation Operators , 2007, IEEE Transactions on Fuzzy Systems.

[5]  S. Kar,et al.  Decision making with geometric aggregation operators based on intuitionistic fuzzy sets , 2014, 2014 2nd International Conference on Business and Information Management (ICBIM).

[6]  K. Jahn Intervall‐wertige Mengen , 1975 .

[7]  Guiwu Wei,et al.  Some induced correlated aggregating operators with intuitionistic fuzzy information and their application to multiple attribute group decision making , 2012, Expert Syst. Appl..

[8]  Ramon E. Moore Methods and applications of interval analysis , 1979, SIAM studies in applied mathematics.

[9]  Mohuya B. Kar,et al.  Group multi-criteria decision making using intuitionistic multi-fuzzy sets , 2013 .

[10]  Zeshui Xu,et al.  Some geometric aggregation operators based on intuitionistic fuzzy sets , 2006, Int. J. Gen. Syst..

[11]  J. Merigó,et al.  The Induced Generalized OWA Operator , 2009, EUSFLAT Conf..

[12]  Ming-yuan Chen,et al.  Induced generalized intuitionistic fuzzy OWA operator for multi-attribute group decision making , 2012, Expert Syst. Appl..

[13]  Shyi-Ming Chen,et al.  Handling multicriteria fuzzy decision-making problems based on vague set theory , 1994 .

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

[15]  Samarjit Kar,et al.  The Hesitant Fuzzy Soft Set and Its Application in Decision-Making , 2015 .

[16]  Krassimir T. Atanassov,et al.  Intuitionistic fuzzy sets , 1986 .

[17]  Xiaowen Qi,et al.  Induced Interval-Valued Intuitionistic Fuzzy Hybrid Aggregation Operators with TOPSIS Order-Inducing Variables , 2012, J. Appl. Math..

[18]  Dug Hun Hong,et al.  Multicriteria fuzzy decision-making problems based on vague set theory , 2000, Fuzzy Sets Syst..

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

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

[21]  Qiang Zhang,et al.  The induced generalized interval-valued intuitionistic fuzzy hybrid Shapley averaging operator and its application in decision making , 2013, Knowl. Based Syst..