نظام خبير فازي لاتخاذ القرار الفازي بالتطبيق على مشروعات تطوير المجرى الملاحي لقناة السويس | ||
| المجلة المصرية للدراسات التجارية | ||
| Article 6, Volume 42, Issue 2, April 2018, Pages 211-251 PDF (1.01 M) | ||
| Document Type: المقالة الأصلية | ||
| DOI: 10.21608/alat.2018.207180 | ||
| Authors | ||
| محمود رياض1; مرفت المحلاوي2; أحمد عبد الخالق3; هبة إبراهيم عشري4 | ||
| 1معهد الدراسات والبحوث الاحصائية | ||
| 2جامعة طنطا | ||
| 3جامعة بورسعيد | ||
| 4جامعة دمياط | ||
| Abstract | ||
| Expert systems are one of the most powerful branches of AI, a software that attempts to re-represent the behavior of human experts to identify some intellectual tasks. Expert systems are knowledge base systems that use knowledge and facts that are used by human experts and design expert systems for optimal decision making. The Expert System can be defined as a computer application that converts expert knowledge into a software system. This system is designed by the expert to analyze the problem, answer the user's questions and suggest appropriate solutions. As a result of the difficulty of investment decision making and its importance, there is a need to use expertise systems for optimal decision making. Fuzzy Logic is one of the forms of logic used in expert systems (ES) and artificial intelligence (AI) applications. It is one of the most important types of artificial intelligence, called ambiguous logic or ambiguous. The Fuzzy Logic Theory (FST) and the Fuzzy Logic (FL). Many of the motivations prompted scientists to use and develop the logic to be used as a better method of processing data and addressing the most complex and ambiguous problems. A Fuzzy expert system was proposed that includes a set of pseudomodels according to the theory of pseudo-classes and pseudo-logic. These models were applied to the development projects of the Suez Canal to select the best alternatives for the development of the Canal's waterways so as to maximize the profitability of the Suez Canal at the level of the national economy through optimal selection of projects to develop its navigational cours. | ||
| Keywords | ||
| Keywords: Fuzzy Logic; Fuzzy Theory; Fuzzy Set; Membership Function; Fuzzy regression; Fuzzy Time series; Fuzzy linear Programming; Fuzzy Decision Making; Fuzzy Expert | ||
| References | ||
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