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This study presents an innovative approach to develop a course specification that considers the effect of the covered topics in a course on the entire program learning outcomes. This study presents a practical methodology enabling instructors to design an efficient course specification based on the national academic accreditation and assessment standards of the Kingdom of Saudi Arabia. Fuzzy linguistic...
Assessing business-to-consumer (B2C) e-commerce websites quality can be considered as a multi criteria decision making (MCDM) problem because of its complex structure including qualitative and quantitative factors. The Decision-making involves choosing the best e-commerce website or constructing a total or partial ordering over a multitude of websites. The existing ranking process doesn't assign each...
Supplier selection and evaluation plays an importance role for companies to gain competitive advantage and achieve the objectives of the whole supply chain. To select the appropriate suppliers, many qualitative and quantitative criteria are needed consider in the decision process. Therefore, supplier selection and evaluation can be seem as a multi-criteria decision making (MCDM) problem in vague environment...
The preventive maintenance requirement of test equipment is determined by the reliability centered maintenance (RCM) analysis. In the first step of RCM analysis procedure, the important degree evaluations of test equipment play a significant way to identify the functionally significant item (FSI) list. To evaluate the important degree of test equipment, a systematic methodology integrating the fuzzy...
In order to solve the difficulties of multi-source heterogeneous data recognition in big data environment, a multi-source heterogeneous data recognition algorithm based on linguistic labels is proposed in this paper. Recognition method is studied for such multi-source heterogeneous data as real number, interval number and natural language, novel linguistic recognition library and linguistic 2-tuples...
Multiple attribute decision-making method based ongrey incidence for hybrid multiple attribute decision-making problems with real number, interval number, triangular fuzzy number, intuitionistic fuzzy number and uncertain linguistic variables is proposed. It analyzes the measurement among the hybrid multiple attribute information and discuses the transform between every two attributes firstly, which...
The belief rule base (BRB) is an efficient tool in solving many complex theoretical and practical problems due to its superior performance in nonlinearity modeling under uncertainty. The conventional BRB is constructed following the conjunctive assumption which indicates that all the possible combinations of the referenced values of the attributes must be covered. The conjunctive assumption can ensure...
Assessing E-commerce web sites quality is essential not only to have recommendations for improvement but also to make comparisons with competitors. In this paper, the aim is to know the best criteria for the evaluation and obtain a weight for them using fuzzy Analytic Network Process (fuzzy ANP). The subjective judgments of the decision maker are expressed by fuzzy numbers. The decision making problem...
This paper proposes methods for the development of mathematical models and for the control of operation modes of technological objects in oil refinery in face of uncertainty based on fuzzy information. The mathematical formulation of the problem of decision-making on controlling modes, which are solved on the basis of mathematical modeling, is formalized and obtained. By using the example of the problem...
Distributed Generations (DG) are modular power generating technologies that are located near the load centers. DGs help avoid the expensive long distance transmission of power which is expensive and lossful while providing certain relief to the central power grid. They can be reliable and environmental friendly. DGs can prove beneficial for the local economies, enhance the energy independence, provides...
Recommender Systems (RS) are turned into remarkable tools in electronics commerce (e-commerce) in a way that they effectively find items which are suitable for user's interests. Techniques such as collaborative filtering and content-based filtering are designed for RS. One of the novel methods to recommend appropriate items is using the Ordered Weighted Averaging (OWA) operators to fuzzify the output...
Each year, larger amounts of worn out products are generated and their disposal has made the problem of best product end-of-life (EOL) scenario selection an important problem. Due to uncertain markets and technological advancements, uncertainty plays a vital role in any production related decision-making process. Here, EOL selection problem under uncertainty is addressed through introducing a new...
This article presents a goal programming approach to solve group decision making problems where decision-makers' judgments are provided as multiple incomplete preference relations, including incomplete fuzzy preference relations, incomplete multiplicative preference relations, incomplete interval multiplicative preference relations and incomplete linguistic preference relations. The proposed approach...
Nowadays, failure mode and effect analysis (FMEA) is a widely used reliability analysis technique for products, processes, and services because of its relative simplicity. The conventional risk priority number method, however, has been criticized as having many limitations, such as in the assessment of failure modes, the weighting of risk factors, and the prioritization of failure modes. In this paper,...
The mutual recognition of community opinion in multiple attribute group decision making (MAGDM) is an efficient way to solve complex system, which has widely application in practice. In this paper, the MAGDM under uncertain linguistic variables is studied. In order to achieve a desirable consensus in group decision making, a new algorithm is proposed to develop a satisfactory consensus reaching process,...
The aim of this paper is attempted to present a systematic decision-making model to deal with the personnel selection effectively and efficiently. At first stage, quantitative information of each applicant is considered in proposed method to reduce number of candidates. For this purpose, the TOPSIS and entropy methods are applied to calculate closeness coefficient of each applicant. In next stage,...
In regard to multiple criteria group decision making problems with linguistic information of criteria values which take the form of intuitionistic trapezoidal fuzzy numbers, a sort of group decision analysis method is proposed. Both of power average operator and power ordered weighted average operator are nonlinear weighted average aggregation operators, and all of their weighting vectors have a dependence...
Nowadays, many research works are moving toward the definition of models for human decision support systems within business process executions. Existing solutions, in general, do not take into account the context in which such processes run but they provide rigid models that could erroneously support decision-making activities when a different context needs to be considered. This work focuses on the...
This paper introduces a novel modification of the technique for ordering of preference by similarity to ideal solution (TOPSIS) method and uses a fuzzy system with multiple rule bases to solve multi-criteria decision making problems where both benefit and cost criteria are presented as subsystems. Thus, the decision maker evaluates the performance of each alternative for optimization and further observes...
Supplier selection is a process in which one supplier is selected out of given suppliers on the basis of certain features such as reliability, maintainence, delivery performance, quality etc. Nowadays, supplier selection problem is a big issue because selection of the best supplier is a multi-criteria decision making (MCDM) problem under many combating criteria. The knowledge of the decision makers...
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