A study on aggregation of TOPSIS ideal solutions for group decision-making
碩士 === 國立成功大學 === 工業與資訊管理學系碩博士班 === 97 === In the field of Multi Criteria Decision Making (MCDM), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) has become a popular decision technique because of its clear theories and the exact models (Deng et al., 2000). For applications w...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2009
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| Online Access: | http://ndltd.ncl.edu.tw/handle/30156380036753975996 |
| Summary: | 碩士 === 國立成功大學 === 工業與資訊管理學系碩博士班 === 97 === In the field of Multi Criteria Decision Making (MCDM), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) has become a popular decision technique because of its clear theories and the exact models (Deng et al., 2000). For applications with TOPSIS in group decisions, the common aggregation approaches are the geometric and the arithmetic mean methods which seem too intuitive and do not consider individuals’ either preference levels or preference priorities.
In this paper, we focus on the aggregation of TOPSIS for group decisions and present a new group decision aggregation model of TOPSIS. The construction of the proposed model includes three steps：The first step is to use weight differences to present the degrees of preference among different alternatives for each decision maker；the second step is to use alternative priorities to present the anxiety that the decision maker wants his most favorite alternative to be chosen；the third step is to use the group ideal solutions approach in TOPSIS for the aggregation of similarities obtain from different decision makers. After a comparative analysis, the proposed aggregation model seems to be more satisfactory compromise-oriented decision problems.
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