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
Author:   Shahnaz N. Shahbazova ,  Janusz Kacprzyk ,  Valentina Emilia Balas ,  Vladik Kreinovich
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   393
ISBN:  

9783030471231


Pages:   576
Publication Date:   11 July 2020
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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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


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Overview

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.

Full Product Details

Author:   Shahnaz N. Shahbazova ,  Janusz Kacprzyk ,  Valentina Emilia Balas ,  Vladik Kreinovich
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   393
Weight:   1.039kg
ISBN:  

9783030471231


ISBN 10:   3030471233
Pages:   576
Publication Date:   11 July 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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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