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Supplier selection has a critical effect on the competitiveness of the entire supply chain network. It is not only a significant work in supply chain management but also a complex decision making problem which includes both qualitative and quantitative factors. Research results indicate that the supplier selection process appears to satisfy different evaluation criteria and business model in deciding...
Supplier selection and evaluation are one of the most critical activities of a company in today's competitive business world. Partnering with the suppliers has become a key factor to the success of an organization. The selection of supplier, satisfying different evaluation criteria, is therefore of main importance and builds the topic of this paper. This selection process is a difficult decision and...
Nowadays, many decision models are the revision of data-driven. These models are defined as follows: given an existing model and a set of data items, revise the model to match the data items. In this paper, a novel study on the revising and launching automobile type is based on decision support and business intelligence system. Fuzzy set theory and expert knowledge are also employed and a new association...
Practicing customer relationship management (CRM) on a global scale demands the ability to explore the pattern of customer retention. Despite the importance of customer retention in customer relationship management, there is a lack of comprehensive and effective approaches to retaining customers under globalization. According to these conditions, intuitionistic fuzzy set theory, alpha-cuts, and data...
Fuzzy Comprehensive evaluation is usually influenced significantly by the matrix of fuzzy relation and weight vector. For a sequential segmentation category, the principle of the lowest cost, the principle of maximum degree of measure and the principle of maximum degree of membership sometimes can get unreasonable conclusion, because they conceal the difference of two degree of membership. First of...
Fuzzy comprehensive evaluation is usually influenced significantly by the matrix of fuzzy relation and weight vector. For a sequential segmentation category, the principle of the lowest cost, the principle of maximum degree of measure and the principle of maximum degree of membership sometimes can get unreasonable conclusion, because they conceal the difference of two degree of membership. First of...
Nowadays, many studies of the discovery of the relative pattern of a disease, but some of them do not consider the data privacy of patients completely, and others are not very effective to find the pattern. In this paper, we propose a novel approach to deal with the above problems. We employ intuitionistic fuzzy set, alpha-cuts, and Apriori algorithm to discovery the relative pattern of a disease...
Rough set theory refers to classification of objects are described by well-defined values of qualitative and quantitative attributes. In practice, however, the decision and condition attributes are often fuzzy and be described by fuzzy sets. This situation may be formally modeled by similarity or tolerance relations instead of the indiscernibility relation. This paper investigates a new method for...
The theories and methods of performance evaluation for multi-sensor data fusion system based on rough set theory and a fuzzy interval are discussed. A information fusion performance criteria system is founded with C3I applications as background, the evaluation process is similar to the decision process. A function gj(a) represents an evaluation of object a for attribute j and is called a criteria...
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