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Recent Developments in Fuzzy Logic and Fuzzy Sets: Dedicated to Lotfi A. Zadeh

PUBLISHER Springer (03/06/2020)
PRODUCT TYPE Hardcover (Hardcover)

Description
Chapter 1: Fuzziness in Information Extracted from Tweets' Hashtag and Keywords.- Chapter 2: Why Triangular and Trapezoid Membership Functions: A Simple Explanation.- Chapter 3: Probabilistic and More General Uncertainty-Based (e.g., Fuzzy) Approaches to Crisp Clustering Explain the Empirical Success of the K-Sets Algorithm.- Chapter 4: Statistical Approach to Fuzzy Cognitive Maps.- Chapter 5: Semi-Supervised Learning to Rank with Nonlinear Preference Model.
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Product Format
Product Details
ISBN-13: 9783030388928
ISBN-10: 3030388921
Binding: Hardback or Cased Book (Sewn)
Content Language: English
More Product Details
Page Count: 211
Carton Quantity: 30
Product Dimensions: 6.14 x 0.56 x 9.21 inches
Weight: 1.07 pound(s)
Feature Codes: Maps, Illustrated
Country of Origin: NL
Subject Information
BISAC Categories
Technology & Engineering | Engineering (General)
Technology & Engineering | Calculus
Technology & Engineering | Linguistics - General
Descriptions, Reviews, Etc.
jacket back

This book provides a timely and comprehensive overview of current theories and methods in fuzzy logic, as well as relevant applications in a variety of fields of science and technology. Dedicated to Lotfi A. Zadeh on his one year death anniversary, the book goes beyond a pure commemorative text. Yet, it offers a fresh perspective on a number of relevant topics, such as computing with words, theory of perceptions, possibility theory, and decision-making in a fuzzy environment. Written by Zadeh's closest colleagues and friends, the different chapters are intended both as a timely reference guide and a source of inspiration for scientists, developers and researchers who have been dealing with fuzzy sets or would like to learn more about their potential for their future research.


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publisher marketing
Chapter 1: Fuzziness in Information Extracted from Tweets' Hashtag and Keywords.- Chapter 2: Why Triangular and Trapezoid Membership Functions: A Simple Explanation.- Chapter 3: Probabilistic and More General Uncertainty-Based (e.g., Fuzzy) Approaches to Crisp Clustering Explain the Empirical Success of the K-Sets Algorithm.- Chapter 4: Statistical Approach to Fuzzy Cognitive Maps.- Chapter 5: Semi-Supervised Learning to Rank with Nonlinear Preference Model.
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List Price $249.99
Your Price  $247.49
Hardcover