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Fuzzy Logic in Construction Management

Fuzzy Logic in Construction Managementvon Shahide Dehghan Sie sparen 17% des UVP sparen 17%
Über Fuzzy Logic in Construction Management

Fuzzy logic is a revision of the scientific reasoning method based on the real pattern of human thought. This way of thinking was first proposed as vagueness theory by Max Black. Lotf Ali Asgarzadeh proposed fuzzy logic in 1965 based on the studies of Max Black. Fuzzy logic is opposed to Aristotelian binary logic. Fuzzy logic, which is defined in the dictionary as the condition of uncertainty and uncertainty, believes that ambiguity is the nature of science that humans do not need accurate information inputs, but are able to perform adaptive control between available information. Therefore, this logic was initially introduced as a method for processing information and unlike Aristotelian logic, instead of dealing with zero and one, it examines and analyzes from zero to one and implies the concept of relative correctness. In this way, it is closer to people's actions and ways of thinking. Fuzzy put Fuzzy on these dumb sets or multi-valued logic. Sets whose components belong to them with different degrees. Such as people who express their level of satisfaction with the work group with different degrees of very satisfied, satisfied, indifferent, etc.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9786206769323
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 80
  • Veröffentlicht:
  • 20. September 2023
  • Abmessungen:
  • 150x5x220 mm.
  • Gewicht:
  • 137 g.
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Beschreibung von Fuzzy Logic in Construction Management

Fuzzy logic is a revision of the scientific reasoning method based on the real pattern of human thought. This way of thinking was first proposed as vagueness theory by Max Black. Lotf Ali Asgarzadeh proposed fuzzy logic in 1965 based on the studies of Max Black. Fuzzy logic is opposed to Aristotelian binary logic. Fuzzy logic, which is defined in the dictionary as the condition of uncertainty and uncertainty, believes that ambiguity is the nature of science that humans do not need accurate information inputs, but are able to perform adaptive control between available information. Therefore, this logic was initially introduced as a method for processing information and unlike Aristotelian logic, instead of dealing with zero and one, it examines and analyzes from zero to one and implies the concept of relative correctness. In this way, it is closer to people's actions and ways of thinking. Fuzzy put Fuzzy on these dumb sets or multi-valued logic. Sets whose components belong to them with different degrees. Such as people who express their level of satisfaction with the work group with different degrees of very satisfied, satisfied, indifferent, etc.

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