Comparative Analysis of Multiattribute Decision Aids with Ordinal Preferences on Attribute Weights가중치에 대한 서수 정보가 주어질 때 다요소 의사결정 방법의 비교분석에 관한 연구
- Authors
- Ahn, Byeong Seok
- Issue Date
- Mar-2005
- Publisher
- 한국경영과학회
- Keywords
- Multiattribute Decision; Rank Order; Approximate Weights; Dominance Values
- Citation
- 한국경영과학회지, v.30, no.1, pp 161 - 176
- Pages
- 16
- Journal Title
- 한국경영과학회지
- Volume
- 30
- Number
- 1
- Start Page
- 161
- End Page
- 176
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/41084
- ISSN
- 1225-1119
2733-475
- Abstract
- In a situation that ordinal preferences on multiattribute weights are captured, we present two solution approaches: an exact approach and an approximate method. The former, an exact solution approach via interaction with a decision-maker, pursues the progressive reduction of a set of non-dominated alternatives by narrowing down the feasible attribute weights region. Subsequent interactive questions and responses, however, sometimes may not guarantee the best alternative or a complete rank order of a set of alternatives that the decision-maker desires to have. Approximate solution approaches, on the other hand, can be divided into three categories including surrogate weights methods, dominance value-based decision rules, and three classical decision rules. Their efficacies are evaluated in terms of choice accuracy via a simulation analysis. The simulation results indicate that a proposed hybrid approach, intended to combine an exact solution approach through interaction and a dominance value-based approach, is recommendable for aiding a decision making in a case that a final choice is seldom made at single step under attribute weights that are imprecisely specified beyond ordinal descriptions.
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