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A linguistic computation model for fuzzy evaluation system

Authors: Pei-Di Shen; Hsuan-Shih Lee;

A linguistic computation model for fuzzy evaluation system

Abstract

In situations such as multicriteria decision making or performance appraisal, linguistic values such as good, poor, or fair are usually used to represent results of evaluation. To grasp the vagueness of linguistic values, fuzzy numbers are introduced to represent uncertainties. Usually, input and output of the evaluation system for the fuzzy environment are fuzzy numbers. However, if the final results of the overall evaluation are represented by fuzzy numbers, it would be difficult to understand for ordinary people. We propose a linguistic computation model for performance evaluation, which takes linguistic values as input, computes on linguistic values and outputs results in terms of linguistic values.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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