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Based on the static factor analysis of innovation for a master's degree thesis database, a innovation evaluation method is employed to build the factor set, evaluation set, weight sets and fuzzy evaluation model using analytic hierarchy process and fuzzy synthesis evaluation method. The innovation of a master's degree thesis database is evaluated, and the effectiveness of this method is demonstrated...
Nuclear safeguards are a set of activities to verify that a State is living up to its international undertakings not to use nuclear programs for nuclear weapons purposes. International Atomic Energy Agency (IAEA) uses a hierarchical assessment system that is composed of critical activities in the nuclear fuel cycle, processes required for the activities, and the indicators to evaluate the processes...
An ERP (enterprise resource planning) ISV (independent software vender) investment decision model is considered in fuzzy decision environment. The size of the market, the sensitivity of demand to the price and quality, and fixed cost are treated as fuzzy variables. The Graded Mean Integration Representation method is used to solve the fuzzy profit, and equilibrium price, quality, demand, total cost...
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...
The ability to handle the challenges of reducing cost, increasing costumer service is very important for logistic firm in international trade. This research applies fuzzy-ANP methodology to select the location of distribution center. Location of distribution center is a multi-criteria decision making problem which includes a great deal of evaluation factors. We use ANP when considering the feedback...
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...
This article has used data mining techniques and fuzzy comprehensive evaluation model to analyze and deal with a large number of complex data and information of programme management (PgM), and founds that valuable knowledge. When analyzing and making programme selection, the author establishes the fuzzy comprehensive evaluation model and AHP(the analytic hierarchy process), calculates on comparative...
This paper presents a proposal of a fuzzy analyzer of scenarios for the production sequencing (FASPS). The goal is to reduce the quantity of sequences to be simulated by the decision maker when no programmed events occur in the productive system, according to a defined performance criterion. The maximum quantity of generated sequences is calculated based on the available time to perform the simulation...
Preference analysis is a class of important tasks in multi-criteria decision making. The classical rough set theory was generalized to deal with preference analysis by replacing equivalence relations with dominance relation. However, crisp preference relations can not reflect the fuzziness in criteria. In this paper, we introduce the logsig function to extract fuzzy preference relations from samples...
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