Ascribing causality amounts to detect causally related events. In this paper, we consider that these events are uncertain and expressed with the belief function formalism. They are either results of observations or in...
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ISBN:
(纸本)9789814417730
Ascribing causality amounts to detect causally related events. In this paper, we consider that these events are uncertain and expressed with the belief function formalism. They are either results of observations or interventions which are external actions forcing the variable to take a specific value. We show how the proposed concepts of strong accept/reject can be used, instead of changes in uncertainty, to discriminate between potential causes.
In today's severe competitive environment the selection of appropriate suppliers is a significantly important decision for effective supply chain management. In this study a multiple sourcing supplier selection pr...
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ISBN:
(纸本)9789814417730
In today's severe competitive environment the selection of appropriate suppliers is a significantly important decision for effective supply chain management. In this study a multiple sourcing supplier selection problem is considered as a multiple objective linear programming problem with fuzzy demand level. Three objective functions are minimization of costs, maximization of quality and maximization on-time delivery respectively. In order to solve the problem, a two-phased additive approach is proposed. In the first phase, ideal solutions are utilized for finding aspiration levels for each objective. In the second phase Chen&Tsai's fuzzy model is adopted for the problem. The adopted model can be efficiently used to obtain a non-dominated solution. The approach is illustrated by a numerical example.
Purchasing activities of a company form a very important part in the operation of the company. The quality of production and services mainly rely on the performance of the suppliers. In addition, a large amount of the...
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ISBN:
(纸本)9789814417730
Purchasing activities of a company form a very important part in the operation of the company. The quality of production and services mainly rely on the performance of the suppliers. In addition, a large amount of the product's total cost belongs to the purchasing cost of its materials. Therefore, selecting the most suitable suppliers is very important for the firm. Unfortunately, most of the time, suppliers cannot provide the highest quality parts on-time at the lowest costs in the market. In other words, quality, delivery and cost objectives conflict with each other. In this study a fuzzy analytic hierarchy process approach is employed for the supplier selection problem of a textile company. First the selection criteria according to company's objectives are determined. Then the pair-wise comparisons are made on a fuzzy basis. Similarly, in the next step, the six alternative suppliers are compared by fuzzy means. Finally, the two suppliers which achieved the highest performance are advised to the company.
The elicitation of preference information in multi-criteria decision analysis (MCDA) processes and the lack of practical means supporting it is a significant problem in real-life applications of MCDA. The issues at ha...
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ISBN:
(纸本)9789814417730
The elicitation of preference information in multi-criteria decision analysis (MCDA) processes and the lack of practical means supporting it is a significant problem in real-life applications of MCDA. The issues at hand are problematical in a multitude of ways, but some of these issues may be remedied by accepting weaker input statements from decision-makers than what is most commonly needed, yet being able to utilize these statements for decision evaluation. In this paper, we propose a fast and practically useful weight elicitation method, which builds on the ideas of rank-order methods, but in addition take imprecise cardinal information into account.
Quality Function Deployment (QFD) is an effective methodology to use product research and development (R&D) and it has lots of applications in the literature. However, none of the presented studies takes into acco...
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ISBN:
(纸本)9789814417730
Quality Function Deployment (QFD) is an effective methodology to use product research and development (R&D) and it has lots of applications in the literature. However, none of the presented studies takes into account the dependencies among technical characteristics. Therefore a modified QFD approach by integrating DEMATEL technique into QFD has been proposed to fill in the gap in the literature. To illustrate the proposed algorithm, a numerical example has been presented in the scope of the paper.
One of the prominent features of standard and fuzzy data envelopment analysis (DEA) is the representation of each of the participating decision making units (DMUs) in the best possible light. This causes two problems;...
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ISBN:
(纸本)9789814417730
One of the prominent features of standard and fuzzy data envelopment analysis (DEA) is the representation of each of the participating decision making units (DMUs) in the best possible light. This causes two problems;first, the different set of factor weights with large number of zeros and second a large number of linear programming models to solve. In this paper, we propose an efficient method to address these two problems. In proposed method by solving just one linear programming a Common Set of Weights (CSW) is achieved in fuzzy DEA. Since resulted efficiencies by the proposed CSW are interval numbers rather than crisp values, it is more informative for decision maker. The proposed model is applied to a numerical example to demonstrate the concept.
Interest rate is one of the most used tools to determine the time value of money in investment projects. In this paper fuzzy regression analysis method is used to determine the relation among interest rate, inflation ...
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ISBN:
(纸本)9789814417730
Interest rate is one of the most used tools to determine the time value of money in investment projects. In this paper fuzzy regression analysis method is used to determine the relation among interest rate, inflation and the increases on export and import. The interest rate is formulated by using past data of interest rates, inflation, export and import sizes in Turkey. An illustrative example is given.
The aim of the present study is to evaluate the weights of the criteria in green supply chain management to aid the supplier selection process in automotive industry. The problem was considered as a multi-criteria dec...
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ISBN:
(纸本)9789814417730
The aim of the present study is to evaluate the weights of the criteria in green supply chain management to aid the supplier selection process in automotive industry. The problem was considered as a multi-criteria decision making problem. The main and the sub criteria affecting green supply chain management are taken into account in this paper, and their weights are evaluated through fuzzy ANP in order to determine their importance on automotive industry.
This paper presents a fuzzy set construction method by transforming a membership multi-valued representation into a scalar one. The method has two steps: firstly, a bifuzzy set is constructed using an aggregator opera...
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ISBN:
(纸本)9789814417730
This paper presents a fuzzy set construction method by transforming a membership multi-valued representation into a scalar one. The method has two steps: firstly, a bifuzzy set is constructed using an aggregator operator from the family of averaging operators;secondly, the bifuzzy set obtained in the first step is transformed into a fuzzy one, preserving some indices, like the net truth or the proportional truth. Furthermore, the paper uses the method described above to create new formulae for entropy calculus of intuitionistic fuzzy sets and then, new formulae for color luminosity calculus.
This paper combines the methodology of belief rule-based (BRB) systems with nonlinear min-max optimisation techniques to develop a novel interval identification method, in which the outputs of an uncertain nonlinear s...
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ISBN:
(纸本)9789814417730
This paper combines the methodology of belief rule-based (BRB) systems with nonlinear min-max optimisation techniques to develop a novel interval identification method, in which the outputs of an uncertain nonlinear system are represented by belief structures. On a finite set of measured data, the l(infinity)-norm is used as the optimisation criterion of minimising the identification errors. This identification method is capable of modelling the optimal lower and upper bounds simultaneously, which can be used to approximate the interval output of an uncertain nonlinear system. The proposed method is tested with a family of uncertain nonlinear functions, and numerical results validate the functionality of the proposed identification method for uncertain nonlinear systems.
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