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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...
For a two-echelon supply chain consisted of multi-plants and multi-warehouses, with multi-productions, this paper develops a bi-level programming model aims to minimize the total cost. The problem includes two sub-problems: the higher-level problem and the lower-level problem respectively decided by plants and warehouses. Built in dynamic environments the model has fuzzy parameters in constraints...
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,...
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