Fuzzy Applications in Industrial Engineering, 3rd Edition
This special issue belongs to the section "D2: Operations Research and Fuzzy Decision Making".
Special Issue Information
Dear Colleagues,
Industrial engineering (IE) involves the design, improvement, and installation of integrated systems of people, material, equipment, and energy. Industrial engineers are engaged in reducing production costs, increasing efficiency, and improving the quality of products and services. Fuzzy set approaches are usually the most appropriate when human evaluations and the modeling of human knowledge are needed. IE uses a significant number of applications of the fuzzy set theory.
The purpose of this Special Issue is to gather a collection of articles reflecting the latest developments in the different fields of industrial engineering that apply the fuzzy set theory and fuzzy logic for control and reliability, manufacturing systems and technology management, optimization techniques, quality management, process capability analysis, statistical decision-making, and others.
Prof. Dr. Kuen-Suan Chen
Dr. Chun-Min Yu
Prof. Dr. Ying Yang
Guest Editors
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Keywords
- fuzzy set theory
- fuzzy logic
- fuzzy applications
- fuzzy control and reliability
- fuzzy manufacturing systems
- fuzzy optimization techniques
- fuzzy service performance evaluation
- fuzzy process capability analysis
- fuzzy statistical decision-making
- operators and fuzzy arithmetic
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Published Papers
Mathematics - ISSN 2227-7390