A robust aggregation operators for multi-criteria decision-making with intuitionistic fuzzy soft set environment

نویسندگان
Arora, Rishu ID 1
Garg, Harish ID 2

1 School of Mathematics, Thapar University Patiala 147004, Punjab, India

2 School of Mathematics, Thapar University Patiala 147004, Punjab, India

doi
10.24200/sci.2017.4433
چکیده

Soft set theory acts as a fundamental tool for handling the uncertainty in the data by adding aparameterized factor during the process as compared to fuzzy as well as intuitionistic fuzzy settheory. In this manuscript, an attempt has been made to compare two intuitionistic fuzzy softnumbers (IFSNs) and then weighted averaging and geometric aggregation operators for aggregatingthe di erent input arguments have been presented. Further, various properties of its have also beenestablished. The e ectiveness of these operators has been demonstrated through a case study

کلیدواژه‌ها
Fuzzy soft sets, intuitionistic fuzzy soft sets, Decision-Making, Aggregation operators