Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/21162
Title: Hesitant information sets and application in group decision making
Authors: Agarwal, Manish
Keywords: Information set;Hesitancy;Uncertainty measures;Group multi attribute decision making
Issue Date: Nov-2018
Publisher: Elsevier
Abstract: The recent information set theory provides a useful mechanism to represent an agent’s perceived information values. However, often a decision-maker (DM) considers multiple evaluations for the same information source value. To this end, we extend the recent information set as hesitant information set (HIS). It gives the multiple perceived information values, corresponding to an information source value. In the context of multi-attribute decision making, HIS represents a set of different possible subjective utilities that an agent may perceive as an evaluation of an alternative-attribute pair. The basic operations, and properties of HIS are investigated. A few information measures based on HIS are presented. Besides many illustrative examples, a real application in group multi attribute decision making problem is included.
Description: Applied Soft Computing, Volume 75, February 2019, Pages 120-129
URI: http://hdl.handle.net/11718/21162
Appears in Collections:Journal Articles

Files in This Item:
File Description SizeFormat 
Manish.pdf
  Restricted Access
1.02 MBAdobe PDFView/Open Request a copy


Items in IIMA Institutional Repository are protected by copyright, with all rights reserved, unless otherwise indicated.