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Showing 1 to 20 of 108 for “"Fuzzy set"”.
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An investment analysis model using fuzzy set theory
… and non-economic, tangible and intangible. Fuzzy set theory provides an alternative to probability theory for handling uncertainty, while at the same time being able to handle imprecision. It also provides a means of closing the gap between the human thought process and the computer, by …
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A fuzzy set paradigm for conceptual system design evaluation
… analysis, and evaluation. Concepts from fuzzy set theory and the calculus of fuzzy arithmetic were adapted to address and manipulate imprecision and subjectivity. A number of design decision aids were developed to reduce the gap between commitment and project specific knowledge, to …
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Methodological Problems in Comparative and Cross -National Analysis: Applications of Fuzzy Set Theory
… to realize the as yet unfulfilled promise of fuzzy set theory and to show in particular how it can be applied in the field of comparative politics, my dissertation addresses three basic issues. First, I show how to scale membership functions, the primary quantities necessary for fuzzy set …
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A model for the investigation of cost variances: the fuzzy set theory approach
… problems. The new model utilizes the calculus of fuzzy set theory which was introduced by Zadeh in 1965 as a means for dealing with fuzziness. The theory is also intended to reduce the need for precise measures that are difficult to obtain. Consequently, the theory seems to be well suited for …
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Comparing Probabilistic and Fuzzy Set Approaches for Designing in the Presence of Uncertainty
Probabilistic models and fuzzy set models describe different aspects of uncertainty. Probabilistic models primarily describe random variability in parameters. In engineering system safety, examples are variability in material properties, geometrical dimensions, or wind loads. In contrast, fuzzy set …
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A Risk- and Fuzzy Set-Based Methodology for Advanced Concept Technology Demonstration Military Utility Assessment Design
… ambiguities and other of what have been termed “fuzzy” manifestations of the cognition and language with which end-user, military operators craft and express perspectives required to identify measures of effectiveness fundamental to MUA designs. The effort pursued three research questions: (1) …
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Characterizations, solution techniques, and some applications of a class of semi-infinite and fuzzy set programming problems
… [See document] where S is a compact, convex subset of Euclidean m space and u<sub>i</sub> : S→R, i=1,...,n are strictly concave functions while u <sub> n+1</sub> : S→R is convex. Certain properties of the C/C semi-infinite linear programming problems give rise to efficient solution techniques. …
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Contributions for Handling Big Data Heterogeneity. Using Intuitionistic Fuzzy Set Theory and Similarity Measures for Classifying Heterogeneous Data
… archiving and storage of larger and larger datasets, many of which are multi-modal, or contain different types of data which contribute to the problem that is now known as “Big Data”. In the area of Big Data, volume, variety and velocity problems remain difficult to solve. The work presented in …
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The Status of Music Teacher Education in Taiwan, the Republic of China: An Application of Fuzzy Set Theory
The major findings of this study included: (1) music specialists with professional music teacher education were in serious shortage at elementary and junior high schools, especially in small-sized schools; (2) the most satisfactory, beneficial, and important courses in the perceptions of all …
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Applying fuzzy-set theoretic poverty measures within a developmental local government context : the Khayelitsha - Mitchell's Plain case study
… by adopting a relatively new methodology (Le. fuzzy-set theoretic poverty measures) for measuring multidimensional poverty in the Khayelitsha Mitchell's Plain (KMP) magisterial district using the Census 2001 dataset. Our results show that unemployment, housing and low incomes need the most …
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Modeling route choice behavior in the presence of information using concepts from fuzzy set theory and approximate reasoning
Thesis (Sc. D.)--Massachusetts Institute of Technology, Dept. of Civil Engineering, 1992.
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The Quantification of Perception Based Uncertainty Using R-fuzzy Sets and Grey Analysis
… From these models, it was decided that an R-fuzzy approach would provide for the most ideal foundation from which to enhance and expand upon. An R-fuzzy set can be seen as a relatively new model, one which itself is an extension to fuzzy set theory. It makes use of a lower and upper …
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Experimental comparison of probabilistic methods and fuzzy sets for designing under uncertainty
… approach for modeling uncertainties is fuzzy sets. Fuzzy sets usually require much less information than probabilistic methods and they rely on expert opinion. In principle, probability theory should work better in problems involving only random uncertainties, if sufficient information …
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Fuzzy logic and utility theory for multiobjective optimization of automotive joints
… design methodology that accounts for vagueness. Fuzzy sets and utility theory are appropriate tools because they link the vagueness in a problem formulation and the precise nature of mathematical models. Fuzzy multiobjective optimizations are performed on an automotive joint to maximize the …
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Type-2 Fuzzy Logic: Circumventing the Defuzzification Bottleneck
Type-2 fuzzy inferencing for generalised, discretised type-2 fuzzy sets has been impeded by the computational complexity of the defuzzification stage of the fuzzy inferencing system. Indeed this stage is so complex computationally that it has come to be known as the defuzzification bottleneck. The …
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Searching for the Past: Archaeological Research Using a Multi-Method Geomatics Approach
… a geographic information system (GIS) with fuzzy set theory, and remote sensing software, can overcome limitations encountered with isolated geomatics tools. Using Roman building practices as a test case, the strengths of each geomatics method were utilized to identify ideal locations for …
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Applications of fuzzy counterpropagation neural networks to non-linear function approximation and background noise elimination
… a novel ANN model which incorporates the fuzzy set approach and which can perform a non-linear function approximation. The model is used as the basic structure of an adaptive filter. The learning capability of ANN is expected to be able to reduce the development time and cost of the …
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Dynamics of Organizational Populations - An Ecological Analysis of the Corporate Identity Consultancy in Shenzhen, China
… (1) competition dynamics of organizations in a fuzzy-set construction, and (2) emergence of organizational forms, in the context of corporate identity consultancy in Shenzhen, China. The empirical setting is significantly different from existing organizational studies, in that the population …
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