Fuzzy logic in management, Carlsson, Christer Fedrizzi, Mario Fuller, Robert

Название: Hbr`S 10 Must Reads 2016: The Definitive Management Ideas Of The Year From Harvard Business Review
ISBN: 1633690806 ISBN-13(EAN): 9781633690806
Издательство: Perseus
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Описание: A year's worth of management wisdom, all in one place. We've examined the ideas, insights, and best practices from the past year of Harvard Business Review to bring you the latest, most significant thinking driving business today. With authors from Marcus Buckingham to Herminia Ibarra and company examples from Google to Deloitte, this volume brings the most current and important management conversations to your fingertips.

This book will inspire you to: * Tap into the new technologies that are changing the way businesses compete * Fuel performance by redesigning your organization's practices around feedback * Learn techniques to move beyond intuition for better decision making * Understand why your strategy execution isn't working--and how to fix it * Lead with authenticity by moving beyond your comfort zone * Transform your physical office space to promote creativity and productivity This collection of best-selling articles includes: * "Reinventing Performance Management," by Marcus Buckingham and Ashley Goodall * "The Transparency Trap," by Ethan Bernstein * "Profits Without Prosperity," by William Lazonick * "Outsmart Your Own Biases," by Jack B. Soll, Katherine L. Milkman, and John W.

Payne * "The 3-D Printing Revolution," by Richard D'Aveni * "Why Strategy Execution Unravels--and What to Do About It," by Donald Sull, Rebecca Homkes, and Charles Sull * "The Authenticity Paradox," by Herminia Ibarra * "The Discipline of Business Experimentation," by Stefan Thomke and Jim Manzi * "When Senior Managers Won't Collaborate," by Heidi K. Gardner * "Workspaces That Move People," by Ben Waber, Jennifer Magnolfi, and Greg Lindsay * "Digital Ubiquity: How Connections, Sensors, and Data Are Revolutionizing Business," by Marco Iansiti and Karim R. Lakhani

Автор: Bessis Joel
Название: Risk Management in Banking
ISBN: 1118660218 ISBN-13(EAN): 9781118660218
Издательство: Wiley
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Описание: The seminal guide to risk management, streamlined and updated Risk Management in Banking is a comprehensive reference for the risk management industry, covering all aspects of the field.

Автор: Evgueni D. Solojentsev
Название: Scenario Logic and Probabilistic Management of Risk in Business and Engineering
ISBN: 144194608X ISBN-13(EAN): 9781441946089
Издательство: Springer
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Описание: This unique book proposes a uniform logic and probabilistic (LP) approach to risk estimation and analysis in engineering and economics. It includes clear definitions and notations, revised chapters, an extended list of references, and a new subject index.

Автор: Deng-Feng Li
Название: Decision and Game Theory in Management With Intuitionistic Fuzzy Sets
ISBN: 3642407110 ISBN-13(EAN): 9783642407116
Издательство: Springer
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Описание: Decision and Game Theory in Management With Intuitionistic Fuzzy Sets

Автор: Bing-Yuan Cao; Hadi Nasseri
Название: Fuzzy Information & Engineering and Operations Research & Management
ISBN: 3642386660 ISBN-13(EAN): 9783642386664
Издательство: Springer
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Описание: This book contains key submissions from the 6th International Conference on Fuzzy Information and Engineering (ICFIE 2012) and the 6th academic conference from Fuzzy Information Engineering Branch of Operation Research Society of China (FIEBORSC 2012).

Автор: Li Yan; Zongmin Ma; Fu Zhang
Название: Fuzzy XML Data Management
ISBN: 3642448984 ISBN-13(EAN): 9783642448980
Издательство: Springer
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Описание: This book details recent advances in fuzzy XML data management. Coverage includes: representation of fuzzy XML, query of fuzzy XML, fuzzy database models, extraction of fuzzy XML from fuzzy database models and reasoning of fuzzy XML.

Автор: Bing-Yuan Cao; Sheng-Quan Ma; Hu-hua Cao
Название: Ecosystem Assessment and Fuzzy Systems Management
ISBN: 3319034480 ISBN-13(EAN): 9783319034485
Издательство: Springer
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Описание: "Ecosystem Assessment and Fuzzy Systems Management" is the edited outcome of the 3rd International Conference on Ecosystem Assessment Management (ICEAM) and the Workshop on the Construction of an Early Warning Platform for Eco-tourism (WCEWPE) in Hainan on May 5-12, 2013, Haikou, China.

Автор: Bing-Yuan Cao; Zeng-Liang Liu; Yu-Bin Zhong; Hong-
Название: Fuzzy Systems & Operations Research and Management
ISBN: 3319191047 ISBN-13(EAN): 9783319191041
Издательство: Springer
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Описание: Part I Fuzzy Systems and Its Applications.- Part II Fuzzy Mathematics and Its Applications.- Part III Fuzzy Information and Computer.- Part IV Operations Research and Management and Its Applications.- Part V Others.

Автор: Oliver Gassmann; Fiona Schweitzer
Название: Management of the Fuzzy Front End of Innovation
ISBN: 3319347411 ISBN-13(EAN): 9783319347417
Издательство: Springer
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Описание: This book shows the patterns of the fuzzy front end of innovation and how it can be successfully managed. It features case studies of selected firms with successful practices in managing the fuzzy front end of innovation.

Автор: Deng-Feng Li
Название: Decision and Game Theory in Management With Intuitionistic Fuzzy Sets
ISBN: 3662514265 ISBN-13(EAN): 9783662514269
Издательство: Springer
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Описание:

Chapter 1 Intuitionistic Fuzzy Set Theories

1.1 Introduction

1.2 Intuitionistic Fuzzy Sets and Operations

1.3 Intuitionistic Fuzzy Set Distances and Similarity Degrees

1.3.1 Definition of Similarity Degrees between Intuitionistic Fuzzy Sets

1.3.2 Definition of Distances between Intuitionistic Fuzzy Sets

1.4 Representation Theorem of Intuitionistic Fuzzy Sets

1.5 Extension Principle of Intuitionistic Fuzzy Sets and Operations

1.5.1 Extension Principle of Intuitionistic Fuzzy Sets

1.5.2 Operations over Intuitionistic Fuzzy Sets

1.6 Definitions of Intuitionistic Fuzzy Numbers and Algebraic Operations

1.6.1 Trapezoidal Intuitionistic Fuzzy Numbers and Algebraic Operations

1.6.2 Triangular Intuitionistic Fuzzy Numbers and Algebraic Operations

Chapter 2 Intuitionistic Fuzzy Set Aggregation Operators and Multiattribute Decision Making Methods

2.1 Introduction

2.2 Intuitionistic Fuzzy Set Aggregation Operators and Properties

2.2.1 Intuitionistic Fuzzy Set Weighted Aggregation Operators

2.2.2 Intuitionistic Fuzzy Set Hybrid Weighted Aggregation Operators

2.2.3 Intuitionistic Fuzzy Set Generalized Hybrid Weighted Aggregation Operators

2.3 Intuitionistic Fuzzy Set Generalized Hybrid Weighted Aggregation Method for Intuitionistic Fuzzy Set Multiattribute Decision Making

2.3.1 Formal Representation of Intuitionistic Fuzzy Set Multiattribute Decision Making Problems

2.3.2 Intuitionistic Fuzzy Set Multiattribute Decision Making Process Based on Intuitionistic Fuzzy Set Generalized Hybrid Weighted Aggregation Operators and Real Example Analysis

Chapter 3 Intuitionistic Fuzzy Set Multiattribute Decision Making Methods

3.1 Introduction

3.2 Linear Weighted Average Method for Multiattribute Decision Making with Both Weights and Attribute Ratings Expressed by Intuitionistic Fuzzy Sets

3.2.1 Linear Weighted Average Model of Intuitionistic Fuzzy Set Multiattribute Decision Making

3.2.2 Sensitivity Analysis of Linear Weighted Average Method for Intuitionistic Fuzzy Set Multiattribute Decision Making

3.2.3 Process of Linear Weighted Average Method for Intuitionistic Fuzzy Set Multiattribute Decision Making and Real Example Analysis

3.3 TOPSIS for Intuitionistic Fuzzy Set Multiattribute Decision Making with Both Ideal Solutions and Weights Known

3.3.1 Basic Principle of TOPSIS

3.3.2 Intuitionistic Fuzzy Set TOPSIS Principle and Real Example Analysis

3.4 Optimum Seeking Method for Intuitionistic Fuzzy Set Multiattribute Decision Making with Both Ideal Solutions and Weights Known

3.4.1 Optimum Seeking Principle for Intuitionistic Fuzzy Set Multiattribute Decision Making

3.4.2 Process of Optimum Seeking Method for Intuitionistic Fuzzy Set Multiattribute Decision Making and Real Example Analysis

3.5 Linear Programming Method for Multiattribute Decision Making with Both Weights and Attribute Ratings Expressed by Intuitionistic Fuzzy Sets

3.5.1 Allocation Method of Hesitancy Degrees

3.5.2 Linear Programming Models and Method for Computing Intuitionistic Fuzzy Set Comprehensive Evaluations

3.5.3 Relative Closeness Degree Method of Intuitionistic Fuzzy Set Comprehensive Evaluations and Real Example Analysis

3.6 LINMAP for Intuitionistic Fuzzy Set Multiattribute Decision Making with Both Ideal Solutions and Weights Unknown

3.6.1 Determination Methods of Membership and Nonmembership Degrees of Intuitionistic Fuzzy Sets

3.6.2 Consistency and Inconsistency Measure Methods

3.6.3 LINMAP Models for Intuitionistic Fuzzy Set Multiattribute Decision Making

3.6.4 LINMAP Process for Intuitionistic Fuzzy Set Multiattribute Decision Making and Real Example Analysis

3.7 Fraction Mathematical Programming Method for Intuitionistic Fuzzy Set Multiattribute Decision Making with Unknow