关键词: 目标值, 混合信息, 属性交互, 目标导向决策分析, k-可加模糊测度

Abstract: When targets are integrated into selection of new product development alternatives, degree of target achievement of different alternatives can be considered, which is useful to select the most competitive one. Considering hybrid information representations and interacting attributes, an approach based on target-oriented decision analysis (TODA) and k-order additive fuzzy measures is proposed to select new product development alternatives. First, in the case of hybrid information representations of attributes and their targets, such as the forms of interval value, fuzzy number, linguistic value, these forms are transformed into probability density functions. By taking three kinds of preferences on attributes into consideration, probability of target achievement is then calculated based on TODA. Second, with initial preferences of the decision maker, such as sign and strength of interactions among attributes, k-order additive fuzzy measures are identified based on the minimum variance approach. Each attribute's probability of target achievement is then aggregated through Choquet integral, which is used to rank and select alternatives. Finally, the approach is validated through selecting competitive test equipment for large scale integrated circuits.

Key words: target, hybrid information, interacting attributes, target-oriented decision analysis, k-order additive fuzzy measures