Recent Developments and the New Direction in Soft-Computing Foundations and Applications de Shahnaz N. Shahbazova

Recent Developments and the New Direction in Soft-Computing Foundations and Applications: Selected Papers from the 7th World Conference on Soft Computing, May 29–31, 2018, Baku, Azerbaijan: Studies in Fuzziness and Soft Computing, cartea 393

Shahnaz N. Shahbazova

Janusz Kacprzyk

Valentina Emilia Balas

Vladik Kreinovich

This book gathers authoritative contributions in the field of Soft Computing. Based on selected papers presented at the 7th World Conference on Soft Computing, which was held on May 29–31, 2018, in Baku, Azerbaijan, it describes new theoretical advances, as well as cutting-edge methods and applications. New theories and algorithms in fuzzy logic, cognitive modeling, graph theory and metaheuristics are discussed, and applications in data mining, social networks, control and robotics, geoscience, biomedicine and industrial management are described. This book offers a timely, broad snapshot of recent developments, including thought-provoking trends and challenges that are yielding new research directions in the diverse areas of Soft Computing.

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	Preț	Express
Paperback (1)	1001^.35 lei 6-8 săpt.
Springer International Publishing – 11 iul 2021	1001^.35 lei 6-8 săpt.
Hardback (1)	1007^.94 lei 6-8 săpt.
Springer International Publishing – 11 iul 2020	1007^.94 lei 6-8 săpt.

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1001^.35 lei 6-8 săpt.

Springer International Publishing – 11 iul 2021

1001^.35 lei 6-8 săpt.

Hardback (1)

1007^.94 lei 6-8 săpt.

Springer International Publishing – 11 iul 2020

1007^.94 lei 6-8 săpt.

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Cuprins

Chapter 1: Fuzziness in Information Extracted from Tweets’ Hashtag and Keywords.- Chapter 2: Why Triangular and Trapezoid Membership Functions: A Simple Explanation.- Chapter 3: Statistical Approach to Fuzzy Cognitive Maps.- Chapter 4: Probabilistic and More General Uncertainty-Based (e.g., Fuzzy) Approaches to Crisp Clustering Explain the Empirical Success of the K-Sets Algorithm.- Chapter 5: Semi–Supervised Learning to Rank with Nonlinear Preference Model.- Chapter 6: The Concept of Linguistic Variable Revisited.- Chapter 7: Z-number.- Chapter 8: Fuzzy normed linear spaces.

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