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The Total Ranking Method from Multi-Categorized Voting Data Based on Analytic Hierarchy Process  

Ogawa, Masaru (Department of Applied Physics, Graduate School of Engineering, Osaka University)
Ishii, Hiroaki (Department of Information and Physical Sciences, Graduate School of Information Science and Technology, Osaka University)
Publication Information
Industrial Engineering and Management Systems / v.1, no.1, 2002 , pp. 93-98 More about this Journal
Abstract
It is important to evaluate the performance of candidates mathematically from various aspects, and reflect it on decision making. In decision making, we judge the candidates through two steps, classification of objects and comparison of objects or candidates with plural elements. In the former step, Analytic Hierarchy Process (AHP) is useful method to evaluate candidates from plural viewpoints, and in the later step, Data Envelopment Analysis (DEA) is also useful method to evaluate candidates with plural categorized data. In fact, each candidate has plural elements, nevertheless it has been more important to evaluate from various aspects in IT society. So, we propose a new procedure complementing AHP with DEA.
Keywords
Data Envelopment Analysis (DEA); Analytic Hierarchy Process (AHP); Categorized Voting Data;
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