GROUP ASSESSMENT METHODS BASED ON TWO ALGORITHMS OF THE LINEAR FUZZY LINGUISTIC

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Title:	GROUP ASSESSMENT METHODS BASED ON TWO ALGORITHMS OF THE LINEAR FUZZY LINGUISTIC
Authors:	Lin, L (Lin, Lily) Lee, HM (Lee, Huey-Ming)
Contributors:	資管系
Keywords:	Sampling survey Fuzzy linguistic
Date:	2010-01
Issue Date:	2011-12-15 14:38:42 (UTC+8)
Abstract:	Traditional group assessment is difficult in. reflecting groups complete and certain thought. Therefore, if we can use fuzzy sense to express the degree of interviewee's feelings based on his own concept, the result will be closer to interviewee's real thought. The purpose of this paper is to create two comprehensive algorithms for group assessment with the linear order fuzzy linguistic to do aggregated assessment analysis. Comparing with the two proposed fuzzy assessment methods on group assessment analysis, we have the same computing results. The computed results via the proposed two algorithms are more objective and unbiased than just one evaluator's assessment since they are generated by a group of evaluators. Moreover, if there is only one evaluator existing, the proposed model is also appropriate to assess.
Appears in Collections:	[Department of Information Management & Graduate Institute of Information Management] periodical articles

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