RT Journal Article
ID 612975bc112e3e90
A1 Garg, Harish
A1 Agarwal, Nikunj 
A1 Tripathi, Alka 
T1 CHOQUET INTEGRAL-BASED INFORMATION AGGREGATION OPERATORS UNDER THE INTERVAL-VALUED INTUITIONISTIC FUZZY SET AND ITS APPLICATIONS TO DECISION-MAKING PROCESS
JF International Journal for Uncertainty Quantification
JO IJUQ
YR 2017
FD 2017-08-01
VO 7
IS 3
SP 249
OP 269
K1 fuzzy measures
K1 aggregation operator
K1 Choquet integral
K1 TOPSIS
AB Traditional aggregation operators based on additive measures are invalid to aggregate the different alternatives under
the set of criteria due to interdependent or interactive characteristics of the attributes. Thus, to approximate the human subjective decision-making process, it would be more suitable to enhance the fuzzy measure which will consider the dependency list of multiple decision-making criteria. This shortcoming has been overcome in the present manuscript
by defining a new operational law and their corresponding interval-valued intuitionistic fuzzy interaction correlated
averaging operator. Further, an extension of the TOPSIS method is developed by combining the proposed operator with
Choquet-based Hamming distance. An illustrative example has been given for demonstrating the approach.

PB Begell House
LK https://www.dl.begellhouse.com/journals/52034eb04b657aea,0a2633174192d2ab,612975bc112e3e90.html