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Transportation resources allocation of group enterprise is an important research issue. Based on the non-convex interval goal programming and the discrete resources ideology, this paper sets up three categories, eight basic models for the analysis of enterprise transportation resources allocation. These basic models could be modularly used in practice. Our research outcomes are consistent with the...
Trustworthy software has attracted increasing concern both in academia and industry. How to effectively evaluate the trustworthiness is becoming a closed question. This paper models the software trustworthiness evaluation (STE) problem as a multi-criteria decision-making (MCDM) problem, and proposes both an evaluation framework and a practical approach to evaluate the software trustworthiness based...
Artificial intelligent models such as Artificial Neural Network, Genetic Algorithms, etc., play important roles in decision making. However, diversity in natures of intelligent models makes it difficult to decide which model is the most suitable one in solving certain decision problems. This paper proposes criteria of deferent suitability levels to evaluate the suitability of intelligent methods to...
This paper extends TOPSIS (technique for order preference by similarity to ideal solution) to solve multiple attribute decision analysis (MADA) problems in the situation of belief group decision making (BGDM) where the evaluation of each decision maker (DM) is represented by the bba (basic belief assignment). In the extended TOPSIS, we combine group preferences with the pre-operation of external aggregation,...
A complex multiple decision-making problem with unknown objective function is studied. The problem has three special characters that objective functions of decision-makers are difficult to be quantitative and structured, preference of the decision-makers is changing during the decision-making process, and the solution space is huge. The structure model of IDSS integrating interactive evolutionary...
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