Fuzzy assessment for sampling survey defuzzification by signed distance method

文化大學機構典藏 CCUR > 商學院 > 資訊管理學系暨資訊管理研究所 > 期刊論文 > Item 987654321/20876

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題名:	Fuzzy assessment for sampling survey defuzzification by signed distance method
作者:	Lin, LL (Lin, Lily) Lee, HM (Lee, Huey-Ming)
貢獻者:	資管系
日期:	2010-12
上傳時間:	2011-12-08 15:28:02 (UTC+8)
摘要:	Since traditional sampling survey via questionnaire is difficult in reflecting interviewee's incomplete assessment and uncertain thought, we use fuzzy sense of sampling to express the degree of interviewee's feelings, and find that the result is closer to interviewee's real thought. In this study, we propose two algorithms to do aggregative assessment for sampling survey by signed distance method with the linear order character of symmetric fuzzy linguistics instead of using previous centroid method. As the result that if the membership function of the triangular fuzzy number is not an isosceles triangle, then, based on the maximum membership grade principle, to defuzzify triangular fuzzy number by the signed distance is better than by the centroid method. The proposed fuzzy assessment method on sampling survey analysis is easily to assess the sampling survey and make the aggregative evaluation. Since the proposed model in this study is to measure the group evaluation, the final value is more objective than just one evaluator's assessment. Moreover, if there is only one evaluator existing, the proposed model is also appropriate to assess. (C) 2010 Elsevier Ltd. All rights reserved.
顯示於類別:	[資訊管理學系暨資訊管理研究所 ] 期刊論文

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