cdc-coteauxdegaronne
» » Fuzzy Logic for the Management of Uncertainty
eBook Fuzzy Logic for the Management of Uncertainty ePub

eBook Fuzzy Logic for the Management of Uncertainty ePub

by Lotfi Zadeh,Janusz Kacprzyk

  • ISBN: 0471547999
  • Category: Computer Science
  • Subcategory: Computers
  • Author: Lotfi Zadeh,Janusz Kacprzyk
  • Language: English
  • Publisher: Wiley-Interscience; 1 edition (July 1992)
  • Pages: 676
  • ePub book: 1763 kb
  • Fb2 book: 1581 kb
  • Other: rtf lit lrf mobi
  • Rating: 4.4
  • Votes: 103

Description

Read instantly in your browser.

Read instantly in your browser. by Lotfi Zadeh (Author), Janusz Kacprzyk (Author). ISBN-13: 978-0471547990. Why is ISBN important? ISBN. The 13-digit and 10-digit formats both work.

The present book titled Fuzzy Logic Models and Fuzzy Control: An Intro. Mathematical Fuzzy Logic point of view. An Introduction to Fuzzy Logic and Fuzzy Sets. 23 MB·1,293 Downloads·New! This book is to be the starting point for any curriculum in fuzzy systems in fields like computer. Fuzzy Logic for Business, Finance, and Management (Advances in Fuzzy Systems U Applications and Theory) (Advances in Fuzzy Systems - Applications and Theory). 253 Pages·2007·724 KB·519 Downloads·New! and socio-economic sciences based on fuzzy logic.

Start by marking Fuzzy Logic for the Management of Uncertainty as Want to Read . Thanks for telling us about the problem.

Start by marking Fuzzy Logic for the Management of Uncertainty as Want to Read: Want to Read savin. ant to Read. Details (if other): Cancel. Fuzzy Logic for the Management of Uncertainty.

Fuzzy logic is much more than a logical system. During much of its early history, fuzzy logic was for the most part an object of skepticism and derision, in part because the word ‘‘fuzzy is generally used in a pejorative sense. Here are a few examples of what was said about fuzzy logic. By this I mean that every uncertainty statement must be in the form of a probability; that several uncertainties must be combined using the rules of probability; and that the calculus of probabilities is adequate to handle all situations involving uncertainty. probability is the only sensible description of uncertainty and is adequate for all problems involving uncertainty.

Author Zadeh, Lofti, Zadeh, Lotfi . Kacprzyk, Janusz.

Fuzzy Logic for the Management of Uncertainty. ISBN13: 9780471547990. More Books . ABOUT CHEGG.

Full text views reflects the number of PDF downloads, PDFs sent to Google Drive, Dropbox and Kindle and HTML full text views. Abstract views reflect the number of visits to the article landing page.

The so-called & systems'' are mathematically based systems which enable computers to handle ambiguous or contradictory information.

Fuzzy sets and fuzzy logic provide techniques for modelling vagueness and imprecision, and approximate reasoning, respectively. To be pedantic, whilst imprecision and vagueness are matters of uncertainty management, fuzzy logic is strictly a logic of graded properties and not of uncertainty. That is, a conclusion is true to a degree, rather than there being an expressio. ONTINUE READING. The concept of fuzzy sets is presented as a new tool for the formulation and solution of systems and decision problems which contain fuzzy components or fuzzy relationships. After a brief description of the basic theory of fuzzy sets, implications to systems theory and decision making are indicated. Fuzzy set theory is then applied to fuzzy linear programming problems and it is shown how fuzzy linear programming problems can be solved without increasing the computational effort.

Fuzzy Logic Fuzzy Control Vote Model Evidential Reasoning Assignment Method. Inference for Information Systems containing Probabilistic and Fuzzy Uncertainties. in Fuzzy Logic for the Management of Uncertainty, Ed. Lotfi L. Zadeh and Janusz Kacprzyk, Wiley & Sons, (1990). The management of fuzzy and probabilistic uncertainties for knowledge based systems. ITRC Univ of Bristol Report No. 154, To appear in AI Encyclopedia, (1990).

This is one of the most complete and up-to-date compilations of articles in fuzzy logic research. The so-called ``fuzzy systems'' are mathematically based systems which enable computers to handle ambiguous or contradictory information.