On conjoint analysis by rough approximations based on dominance relations
✍ Scribed by Kazutomi Sugihara; Hiroaki Ishii; Hideo Tanaka
- Publisher
- John Wiley and Sons
- Year
- 2004
- Tongue
- English
- Weight
- 83 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0884-8173
No coin nor oath required. For personal study only.
✦ Synopsis
Conjoint analysis is a method for deriving the part-worth value of each factor from the total evaluations. This also can be applied to multicriteria ranking or choice problems. It is generally in conjoint analysis, assumed that the value function is predefined as the additive and transitive model. However, there exist many cases in which the predefined value function is not appropriate to real situations. In this study, we propose conjoint analysis based on rough sets approximated by dominance relations. In our formulation, qualitative data often used in the conventional method are transformed into ordered values by dominance relations using interval regression analysis. In our proposed approach, preference structure in conjoint analysis can be represented by if-then rules and better combinations of factors than ones derived from the information system can be found by partial order relations.