NDLI: OWA-based fuzzy rule interpolation for group decision making

Content Provider	IEEE Xplore Digital Library
Author	Chengyuan Chen Qiang Shen
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci., Aberystwyth Univ., Aberystwyth, UK (Chengyuan Chen; Qiang Shen)
Abstract	The goal in group decision making is to ensure that the best decision is made with respect to the available information and knowledge possessed by all group members. However, different types of uncertainty may influence both the assessment of the individual views and the derivation of the overall group-level solution. The difficulty in such decision-making may escalate if the views of all individuals only cover part of the problem space. Systems capable of reasoning through fuzzy interpolation can help. Fuzzy rule interpolation is an important technique for performing inference with sparse rule bases. Even when a given observation has no overlap with the antecedent values of any existing rules, fuzzy rule interpolation may still derive a conclusion. This paper presents an approach for achieving group decision making via fuzzy interpolation. Individual preferences are firstly aggregated by means of a method learned on rough-fuzzy set theory, and rough-fuzzy interpolation is then applied to derive the group-level conclusion. Experimental investigations are carried out and the results are presented to demonstrate the efficacy of the proposed work in guaranteeing the overall decision accuracy.
Starting Page	1319
Ending Page	1326
File Size	490353
Page Count	8
File Format	PDF
e-ISBN	9781479920723
DOI	10.1109/FUZZ-IEEE.2014.6891804
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radio frequency Interpolation Gold Open wireless architecture Vectors Shape Decision making
Content Type	Text
Resource Type	Article

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