scholarly journals Sustainability Ranking of Desalination Plants Using Mamdani Fuzzy Logic Inference Systems

2020 ◽  
Vol 12 (2) ◽  
pp. 631 ◽  
Author(s):  
Rabee Rustum ◽  
Anu Mary John Kurichiyanil ◽  
Shaun Forrest ◽  
Corrado Sommariva ◽  
Adebayo J. Adeloye ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
United Arab Emirates ◽  
Water Desalination ◽  
Fuzzy Logic Inference ◽  
Sustainability Analysis ◽  
Sustainability Research ◽  
Using Data ◽  
Inference Systems ◽  
Desalination Plants ◽  
Logic Inference

As water desalination continues to expand globally, desalination plants are continually under pressure to meet the requirements of sustainable development. However, the majority of desalination sustainability research has focused on new desalination projects, with limited research on sustainability performance of existing desalination plants. This is particularly important while considering countries with limited resources for freshwater such as the United Arab Emirates (UAE) as it is heavily reliant on existing desalination infrastructure. In this regard, the current research deals with the sustainability analysis of desalination processes using a generic sustainability ranking framework based on Mamdani Fuzzy Logic Inference Systems. The fuzzy-based models were validated using data from two typical desalination plants in the UAE. The promising results obtained from the fuzzy ranking framework suggest this more in-depth sustainability analysis should be beneficial due to its flexibility and adaptability in meeting the requirements of desalination sustainability.

A FRAMEWORK FOR ADVANCED FUZZY LOGIC INFERENCE SYSTEMS

2002 ◽  
Vol 35 (1) ◽  
pp. 175-180 ◽  
Author(s):  
J.M. Perronne ◽  
C. Petitjean ◽  
L. Thiry ◽  
M. Hassenforder
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Inference ◽  
Inference Systems ◽  
Logic Inference

scholarly journals Assessing the quality of international trade and economic relations in the agricultural sector

2021 ◽  
pp. 91-101
Author(s):  
Andrii Khvostikov
Keyword(s):  
Fuzzy Logic ◽  
International Trade ◽  
United Arab Emirates ◽  
Agricultural Sector ◽  
Fuzzy Variable ◽  
Quality Level ◽  
Economic Relations ◽  
Fuzzy Logic Inference ◽  
Logic Inference

Purpose of the research. The main purpose of the article is to improve the methodical support for assessing the quality of international trade and economic relations in the agricultural sector. Methodology. In the course of the research, the following methods were applied: fuzzy logic inference, generalization, comparison, graphical, expert assessments, etc. Results. The role of international trade and economic relations in the development of the domestic economy has been substantiated. The expediency of using forecasting as a tool for assessing the prospects for expanding cooperation in the field of agriculture with other countries has been proved. The main indicators have been determined that are used in the process of measuring the relationships quality. The necessity of developing tools for assessing the quality of international trade and economic relations has been substantiated. It has been proposed to carry out an assessment using the fuzzy sets theory based on the formed thesaurus, which includes a fuzzy set, membership function, fuzzy variable, linguistic variable, fuzzy knowledge base, fuzzy logic inference. The scheme of the procedure for assessing the quality of international trade and economic relations using the method of fuzzy logic inference and description of the fuzzy system for assessing the quality of international trade and economic relations of the agricultural sector of Ukraine have been developed. An analysis has been carried out within the research framework of bilateral agreements between Ukraine and partners in the field of agriculture and it has been determined that an example of high-quality international trade and economic relations is cooperation with China, India, Germany, the United Arab Emirates; moderate – with Georgia, Poland, France, Korea; low – with Japan, Iran, Kazakhstan, etc. Practical meaning. Based on the results of the assessment, in accordance with the quality level of international trade and economic relations, priority areas of cooperation for Ukraine with partner countries to promote the development of its economy have been identified. Prospects for further research by the author are to develop a mechanism for increasing the quality of international trade and economic relations between Ukraine and partner countries.

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