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Based on the fuzzy probability theory of the third kind of fuzzy events, a new multi-objective optimization model of fuzzy probability is developed. And the application procedure of the fuzzy probability model is illuminated in detail. In order to assess index weighted value scientifically, the analytic hierarchy process (AHP) is introduced into the fuzzy weighted values to avoid the uncertainties...
This paper presents a novel method for multiple attribute decision making problems, in which interval numbers are used to assess the weights of attributes, and fuzzy linguistic variables are utilized to evaluate the suitability of alternatives versus various attributes. In the face of interval attribute weights, a definition of effective attribute weights and its representation are developed. Based...
In the process of concept design of bridges, it is necessary to select the best from feasible alternatives through comparison and filter. The criterion set, used to evaluate and select the satisfying alternative, consists of many qualitative and quantitative factors. Therefore, the selection is a problem of multi-criteria and semi-structural decision making. Different from traditional methods in semi-structural...
As today's financial market is highly dynamics and comprised of complex factors, few robust models are available for supporting value investors and most of the investment decisions are mainly relied on the judgments of senior investment experts. Among accounting-based fundamental analysis, F-Score system has been a widely accepted model for value investing. F-Score system proposed nine fundamental...
In this paper, evaluation scales of linguistic information are investigated. Some important evaluation scales are reviewed, and two new evaluation scales based on normal distribution are proposed. The main advantage of the new evaluation scales is that the distribution of deviations between two adjacent terms is more rational.
In supply chain system, site selection of nodes is one of important decision issues. To encompass uncertainty and vagueness of messages, we utilize a fuzzy multi-criteria decision-making(FMCDM) method called fuzzy TOPSIS to solve the site selection problem under fuzzy environment. By fuzzy TOPSIS, alternatives' extreme solutions are found, and the distances between alternatives and extreme solutions...
A new approach based on evidential reasoning is introduced to synthesize linguistic judgment information of experts. Firstly, the basic probability assignment (BPA) of each focal element is calculated by dealing with the incomplete linguistic decision matrix given by different experts. The consistence and adjustment problem for the BPA among experts is analyzed so as to propose the rule of combination...
To remain competitive in the market, decision makers (DMs) have to regularly measure and evaluate the process performance of organizations. In this study, performance of a manufacturing company pertaining to 10 manufacturing job shops was measured and evaluated by utilizing a new Multiple Criteria Decision Making methodology (MCDM). This new methodology consists of combined Fuzzy TOPSIS (Technique...
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