Fuzzy Logic for Business, Finance, and Management.

By: Bojadziev, GeorgeContributor(s): Bojadziev, MariaMaterial type: TextTextSeries: Advances in Fuzzy Systems-Applications and Theory SerPublisher: Singapore : World Scientific Publishing Co Pte Ltd, 2007Copyright date: ©2007Edition: 2nd edDescription: 1 online resource (253 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9789812770622Subject(s): Business forecasting -- Data processing | Decision making -- Data processing | Fuzzy logic | System analysisGenre/Form: Electronic books.Additional physical formats: Print version:: Fuzzy Logic for Business, Finance, and ManagementDDC classification: 658.4 LOC classification: HD30.23.B654 2007Online resources: Click to View
Contents:
Intro -- Contents -- Foreword -- Preface to the Second Edition -- Preface to the First Edition -- List of Case Studies -- 1 Fuzzy Sets -- 1.1 Classical Sets: Relations and Functions -- 1.2 De nition of Fuzzy Sets -- 1.3 Basic Operations on Fuzzy Sets -- 1.4 Fuzzy Numbers -- 1.5 Triangular Fuzzy Numbers -- 1.6 Trapezoidal Fuzzy Numbers -- 1.7 Fuzzy Relations -- 1.8 Basic Operations on Fuzzy Relations -- 1.9 Notes -- 2 Fuzzy Logic -- 2.1 Basic Concepts of Classical Logic -- 2.2 Many-Valued Logic -- 2.3 What is Fuzzy Logic? -- 2.4 Linguistic Variables -- 2.5 Linguistic Modifiers -- 2.6 Composition Rules for Fuzzy Propositions -- 2.7 Semantic Entailment -- 2.8 Notes -- 3 Fuzzy Averaging for Forecasting -- 3.1 Statistical Average -- 3.2 Arithmetic Operations with Triangular and Trapezoidal Numbers -- 3.3 Fuzzy Averaging -- 3.4 Fuzzy Delphi Method for Forecasting -- 3.5 Weighted Fuzzy Delphi Method -- 3.6 Fuzzy PERT for Project Management -- 3.7 Forecasting Demand -- 3.8 Notes -- 4 Decision Making in a Fuzzy Environment -- 4.1 Decision Making by Intersection of Fuzzy Goals and Constraints -- 4.2 Various Applications -- 4.3 Pricing Models for New Products -- 4.4 Fuzzy Averaging for Decision Making -- 4.5 Multi-Expert Decision Making -- 4.6 Fuzzy Zero-Based Budgeting -- 4.7 Notes -- 5 Fuzzy Logic Control for Business, Finance, and Management -- 5.1 Introduction -- 5.2 Modeling the Control Variables -- 5.3 If ... and ... Then Rules -- 5.4 Rule Evaluation -- 5.5 Aggregation (Conict Resolution) -- 5.6 Defuzzification -- 5.7 Use of Singletons to Model Outputs -- 5.8 Tuning of Fuzzy Logic Control Models -- 5.9 One-Input-One-Output Control Model -- 5.10 Notes -- 6 Applications of Fuzzy Logic Control -- 6.1 Investment Advisory Models -- 6.2 Fuzzy Logic Control for Pest Management -- 6.3 Inventory Control Models -- 6.4 Problem Analysis.
6.5 Potential Problem Analysis -- 6.6 Notes -- 7 Fuzzy Queries from Databases: Applications -- 7.1 Standard Relational Databases -- 7.2 Fuzzy Queries -- 7.3 Fuzzy Complex Queries -- 7.4 Fuzzy Queries for Small Manufacturing Companies -- 7.5 Fuzzy Queries for Stocks and Funds Databases -- 7.6 Notes -- References -- Index.
Summary: Key Features:No prior knowledge of fuzzy logic is neededNotes offered after each chapter include historical and philosophical remarks which put the topics in a wider contextA multi-purpose book that is accessible to students and of interest to expertsSome original results are presented.
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Intro -- Contents -- Foreword -- Preface to the Second Edition -- Preface to the First Edition -- List of Case Studies -- 1 Fuzzy Sets -- 1.1 Classical Sets: Relations and Functions -- 1.2 De nition of Fuzzy Sets -- 1.3 Basic Operations on Fuzzy Sets -- 1.4 Fuzzy Numbers -- 1.5 Triangular Fuzzy Numbers -- 1.6 Trapezoidal Fuzzy Numbers -- 1.7 Fuzzy Relations -- 1.8 Basic Operations on Fuzzy Relations -- 1.9 Notes -- 2 Fuzzy Logic -- 2.1 Basic Concepts of Classical Logic -- 2.2 Many-Valued Logic -- 2.3 What is Fuzzy Logic? -- 2.4 Linguistic Variables -- 2.5 Linguistic Modifiers -- 2.6 Composition Rules for Fuzzy Propositions -- 2.7 Semantic Entailment -- 2.8 Notes -- 3 Fuzzy Averaging for Forecasting -- 3.1 Statistical Average -- 3.2 Arithmetic Operations with Triangular and Trapezoidal Numbers -- 3.3 Fuzzy Averaging -- 3.4 Fuzzy Delphi Method for Forecasting -- 3.5 Weighted Fuzzy Delphi Method -- 3.6 Fuzzy PERT for Project Management -- 3.7 Forecasting Demand -- 3.8 Notes -- 4 Decision Making in a Fuzzy Environment -- 4.1 Decision Making by Intersection of Fuzzy Goals and Constraints -- 4.2 Various Applications -- 4.3 Pricing Models for New Products -- 4.4 Fuzzy Averaging for Decision Making -- 4.5 Multi-Expert Decision Making -- 4.6 Fuzzy Zero-Based Budgeting -- 4.7 Notes -- 5 Fuzzy Logic Control for Business, Finance, and Management -- 5.1 Introduction -- 5.2 Modeling the Control Variables -- 5.3 If ... and ... Then Rules -- 5.4 Rule Evaluation -- 5.5 Aggregation (Conict Resolution) -- 5.6 Defuzzification -- 5.7 Use of Singletons to Model Outputs -- 5.8 Tuning of Fuzzy Logic Control Models -- 5.9 One-Input-One-Output Control Model -- 5.10 Notes -- 6 Applications of Fuzzy Logic Control -- 6.1 Investment Advisory Models -- 6.2 Fuzzy Logic Control for Pest Management -- 6.3 Inventory Control Models -- 6.4 Problem Analysis.

6.5 Potential Problem Analysis -- 6.6 Notes -- 7 Fuzzy Queries from Databases: Applications -- 7.1 Standard Relational Databases -- 7.2 Fuzzy Queries -- 7.3 Fuzzy Complex Queries -- 7.4 Fuzzy Queries for Small Manufacturing Companies -- 7.5 Fuzzy Queries for Stocks and Funds Databases -- 7.6 Notes -- References -- Index.

Key Features:No prior knowledge of fuzzy logic is neededNotes offered after each chapter include historical and philosophical remarks which put the topics in a wider contextA multi-purpose book that is accessible to students and of interest to expertsSome original results are presented.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2018. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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