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  • English  (5)
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  • 2020-2024  (5)
  • 2005-2009
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  • 1
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031394386
    Language: English
    Pages: 1 Online-Ressource(XII, 422 p. 86 illus., 56 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Fuzziness and Soft Computing 428
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Industrial engineering. ; Production engineering.
    Abstract: Chapter 1: Fuzzy Sets and Their Extensions: Literature Review on Fuzzy Extensions of AHP -- Chapter 2: Interval Type-2 Triangular Fuzzy AHP: Evaluation of Sustainable Port Service Quality Factors -- Chapter 3: Swot Analysis integrated Interval Type-2 Triangular Fuzzy AHP: Application on e-Scooter Adaptation In Turkiye -- Chapter 4: Interval Type 2 Fuzzy Z- AHP and Interval Type 2 Fuzzy-Z Waspas: Selection of Industry 4.0 Sub-Technologies -- Chapter 5: Interval Type-2 Trapezoidal Fuzzy AHP and Modified Delphi Method: Evaluation of Railway Transportation for Istanbul, Turkey -- Chapter 6: Single-valued intuitionistic fuzzy AHP and interval-valued intuitionistic fuzzy AHP -- Chapter 7: Interval Valued Intuitionistic Fuzzy Z extensions of AHP&CODAS: Comparison of Energy Storage Alternatives.
    Abstract: This book presents a comprehensive guide to Analytic Hierarchy Process with Fuzzy Sets Extensions. Written by prominent researchers, it offers readers a step-by-step approach to decision-making that can be applied to a wide range of real-world problems. With clear explanations and practical examples, this book is an essential resource for researchers, lecturers, and postgraduate students pursuing research on Analytic Hierarchy Process with Fuzzy Sets Extensions. Each chapter in the book provides a wealth of both basic and advanced concepts, including Interval Type-2 Fuzzy AHP, Intuitionistic Fuzzy AHP, Hesitant Fuzzy AHP, Pythagorean Fuzzy AHP, Picture Fuzzy AHP, q-Rung Orthopair Fuzzy AHP, Spherical Fuzzy AHP, Circular Intuitionistic Fuzzy AHP, and Decomposed Fuzzy AHP. To foster a better understanding, all the chapters include relevant numerical examples or case studies, making it easy to apply the concepts in practice. Moreover, the book extends all the main aspects of Analytic Hierarchy Process with Fuzzy Sets Extensions, presenting a dynamic snapshot of the field that is expected to stimulate new directions, ideas, and developments. In summary, this book is an essential reference guide for anyone seeking to gain a deep understanding of Analytic Hierarchy Process with Fuzzy Sets Extensions. It is written in a rigorous and scholarly manner, making it a valuable resource for researchers and academics. Order your copy today and discover the practical insights and strategies for decision-making offered by this authoritative volume.
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    ISBN: 9783030855772
    Language: English
    Pages: 1 Online-Ressource(XVII, 897 p. 230 illus., 149 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 308
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering—Data processing. ; Artificial intelligence.
    Abstract: A Comparative Study of FAHP with Type-1 and Interval Type-2 Fuzzy Sets for ICT Implementation in Smart Cities -- A New Cuckoo Search Algorithm Using Interval Type-2 Fuzzy Logic for Dynamic Parameter Adaptation -- Monitoring stability of plant species to harmful urban environment under Z- information -- Critical path for projects with activity durations modelled as Z-fuzzy numbers -- Defuzzification of Intuitionistic Z-Numbers for Fuzzy Multi Criteria Decision Making -- Clustering Z- information based on semantic spaces.
    Abstract: This book presents recent research in intelligent and fuzzy techniques. Emerging conditions such as pandemic, wars, natural disasters and various high technologies force people for significant changes in business and social life. The adoption of digital technologies to transform services or businesses, through replacing non-digital or manual processes with digital processes or replacing older digital technology with newer digital technologies through intelligent systems is the main scope of this book. It focuses on revealing the reflection of digital transformation in our business and social life under emerging conditions through intelligent and fuzzy systems. The latest intelligent and fuzzy methods and techniques on digital transformation are introduced by theory and applications. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc. and Ph.D. students studying digital transformation. Usage of ordinary fuzzy sets and their extensions, heuristics and metaheuristics from optimization to machine learning, from quality management to risk management makes the book an excellent source for researchers.
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  • 3
    ISBN: 9783030856267
    Language: English
    Pages: 1 Online-Ressource(XVIII, 954 p. 287 illus., 167 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 307
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering—Data processing. ; Artificial intelligence.
    Abstract: Fuzzy Clustering -- A Digital Twin-based Approach for the Fault Diagnosis of a Bearing -- Fuzzy Cluster analysis of Claustrophobia questionnaire data in Iranian male and female educated populations -- Data Driven Approach to Order Picking Time Prediction Using Fuzzy Clustering and ANN -- A Comparative Analysis of Fuzzy C-Means, K-Means, and K-Medoids Clustering Algorithms for Analysis Countries’ COVID-19 Risk -- Text Segmentation Using Light Syntax Parsing and Fuzzy Systems -- A Neighborhood Merging Policy Based on Shannon’s Entropy and Symmetric Relative Entropy for Non-Convex Cluster Detection.
    Abstract: This book presents recent research in intelligent and fuzzy techniques. Emerging conditions such as pandemic, wars, natural disasters and various high technologies force people for significant changes in business and social life. The adoption of digital technologies to transform services or businesses, through replacing non-digital or manual processes with digital processes or replacing older digital technology with newer digital technologies through intelligent systems is the main scope of this book. It focuses on revealing the reflection of digital transformation in our business and social life under emerging conditions through intelligent and fuzzy systems. The latest intelligent and fuzzy methods and techniques on digital transformation are introduced by theory and applications. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc. and Ph.D. students studying digital transformation. Usage of ordinary fuzzy sets and their extensions, heuristics and metaheuristics from optimization to machine learning, from quality management to risk management makes the book an excellent source for researchers.
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    ISBN: 9783031091766
    Language: English
    Pages: 1 Online-Ressource(XVI, 775 p. 285 illus., 184 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 505
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering—Data processing. ; Artificial intelligence.
    Abstract: This book presents recent research in intelligent and fuzzy techniques on digital transformation and the new normal, the state to which economies, societies, etc. settle following a crisis bringing us to a new environment. Digital transformation and the new normal-appearing in many areas such as digital economy, digital finance, digital government, digital health, and digital education are the main scope of this book. The readers can benefit from this book for preparing for a digital “new normal” and maintaining a leadership position among competitors in both manufacturing and service companies. Digitizing an industrial company is a challenging process, which involves rethinking established structures, processes, and steering mechanisms presented in this book. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc., and Ph.D. students studying digital transformation and new normal. The book covers fuzzy logic theory and applications, heuristics, and metaheuristics from optimization to machine learning, from quality management to risk management, making the book an excellent source for researchers.
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    ISBN: 9783031091735
    Language: English
    Pages: 1 Online-Ressource(XVIII, 1020 p. 380 illus., 182 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 504
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering—Data processing. ; Artificial intelligence.
    Abstract: This book presents recent research in intelligent and fuzzy techniques on digital transformation and the new normal, the state to which economies, societies, etc. settle following a crisis bringing us to a new environment. Digital transformation and the new normal-appearing in many areas such as digital economy, digital finance, digital government, digital health, and digital education are the main scope of this book. The readers can benefit from this book for preparing for a digital “new normal” and maintaining a leadership position among competitors in both manufacturing and service companies. Digitizing an industrial company is a challenging process, which involves rethinking established structures, processes, and steering mechanisms presented in this book. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc., and Ph.D. students studying digital transformation and new normal. The book covers fuzzy logic theory and applications, heuristics, and metaheuristics from optimization to machine learning, from quality management to risk management, making the book an excellent source for researchers.
    Library Location Call Number Volume/Issue/Year Availability
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