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The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines.
The journal will publish original articles on current and potential applications, case studies, and education in intelligent systems, fuzzy systems, and web-based systems for engineering and other technical fields in science and technology. The journal focuses on the disciplines of computer science, electrical engineering, manufacturing engineering, industrial engineering, chemical engineering, mechanical engineering, civil engineering, engineering management, bioengineering, and biomedical engineering. The scope of the journal also includes developing technologies in mathematics, operations research, technology management, the hard and soft sciences, and technical, social and environmental issues.
Authors: Tolga, A. Çagri
Article Type: Research Article
Abstract: Real options valuation is a financial technique for evaluating investments under conditions of uncertainty, particularly uncertainty associated with market variables such as future product demand or the future value of an asset. The real option value of the investment opportunity is what a value-maximizing firm would pay the right to undertake the investment project with its inherent decision points. This paper proposes a fuzzy multi-criteria R&D project selection methodology based on the hierarchical fuzzy …TOPSIS, which includes a fuzzy real options valuation model. Show more
Keywords: Real options, fuzzy, TOPSIS, research and development projects, multi-criteria selection
Citation: Journal of Intelligent & Fuzzy Systems, vol. 19, no. 4-5, pp. 359-371, 2008
Authors: Erginel, Nihal
Article Type: Research Article
Abstract: In Statistical Process Control (SPC), both variable and attribute control charts are widely used techniques to monitor and evaluate the process with respect to the related quality characteristics. In variable control charts, quality characteristics are measured on a numerical scale, using two main parameters mean and standard deviation. When data are composed of individuals from a process, individual (X) control charts are used for mean and moving range (MR) control charts are used for …standard deviation. Generally, the data in variable control charts are assumed to be composed of crisp values. But a measurement system including operator, gage, and environmental conditions may produce "uncertain" or "vague" data. In this case, the fuzzy set theory is an available tool for evaluating the vague data. In this study, fuzzy control limits for individual (X) and moving range (MR) control charts with α-cuts are constructed by using α-level fuzzy median transformation techniques. The real-world data are used and the process is evaluated by the developed fuzzy control charts. Show more
Keywords: Fuzzy, individual (X) control chart, moving range (MR) control chart, α-cut, median transformation techniques
Citation: Journal of Intelligent & Fuzzy Systems, vol. 19, no. 4-5, pp. 373-383, 2008
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