Fuzzy Reasoning

Costas P. Pappis and Constantinos I. Siettos
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Costas P. Pappis: University of Piraeus
Constantinos I. Siettos: National Technical University of Athens, School of Applied Mathematics and Physics

Chapter Chapter 15 in Search Methodologies, 2005, pp 437-474 from Springer

Abstract: Abstract The derivation of mathematical models that can efficiently describe real-world problems is most of the time an overwhelming or even impossible task due to the complexity and the inherent ambiguity of characteristics that these problems may possess. As (1973), the founder of the theory of fuzzy sets, puts it, as the complexity of a system increases, our ability to make precise and yet significant statements about its behavior diminishes until a threshold is reached beyond which precision and significance (or relevance) become almost mutually exclusive characteristics.

Keywords: Membership Function; Fuzzy Logic; Fuzzy System; Fuzzy Control; Fuzzy Controller (search for similar items in EconPapers)
Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-0-387-28356-2_15

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DOI: 10.1007/0-387-28356-0_15

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