Fuzzy Sets in the Management of Uncertainty, Jaime Gil-Aluja

Автор: Gudela Grote
Название: Management of Uncertainty
ISBN: 144712510X ISBN-13(EAN): 9781447125105
Издательство: Springer
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Описание: This volume examines the necessity (or advantage) of living with technical and organizational uncertainties, without losing the stability created by reducing uncertainty. Readers will find concrete instruments for organizational and system design that are well illustrated by case studies.

Автор: Jaime Gil-Aluja
Название: Handbook of Management under Uncertainty
ISBN: 0792370252 ISBN-13(EAN): 9780792370253
Издательство: Springer
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Описание: In this work we are proposing something a little more modest: to use, in the best possible way, data and information that are available for drawing up and applying techniques and instruments that are useful for current reality within the world of businesses and institutions, in an attempt to mislead ourselves as little as possible.

Автор: Association
Название: Management Control and Uncertainty
ISBN: 113739210X ISBN-13(EAN): 9781137392107
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Описание: Management Control and Uncertainty recognizes that all control takes place under conditions of uncertainty: it does now, and it always has done. In this edited collection, the contributing authors examine different aspects of management control systems in the modern world whilst paying more explicit attention to the ubiquitous nature of uncertainty

Автор: Jaime Gil-Aluja
Название: Handbook of Management under Uncertainty
ISBN: 1461379784 ISBN-13(EAN): 9781461379782
Издательство: Springer
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Описание: In this work we are proposing something a little more modest: to use, in the best possible way, data and information that are available for drawing up and applying techniques and instruments that are useful for current reality within the world of businesses and institutions, in an attempt to mislead ourselves as little as possible.

Автор: Luc Wilkin; A. Sutton
Название: The Management of Uncertainty: Approaches, Methods and Applications
ISBN: 940108484X ISBN-13(EAN): 9789401084840
Издательство: Springer
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Описание: Proceedings of the NATO Advanced Research Workshop on Socio-Technical Approaches to the Management of Uncertainty, Maratea, Italy, 1982

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

Автор: Khalil, Tarek M.
Название: Management of Technology
ISBN: 0073228982 ISBN-13(EAN): 9780073228983
Издательство: McGraw-Hill
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Автор: Gabriella Dellino; Carlo Meloni
Название: Uncertainty Management in Simulation-Optimization of Complex Systems
ISBN: 1489975462 ISBN-13(EAN): 9781489975461
Издательство: Springer
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Описание: Editors aim to offer a bibliographic reference on the topic, enabling interested readers to learn about the state-of-the-art in this research area, also accounting for potential real-world applications to improve also the state-of-the-practice.

Автор: Van-Nam Huynh; Yoshiteru Nakamori; Jonathan Lawry;
Название: Integrated Uncertainty Management and Applications
ISBN: 364211959X ISBN-13(EAN): 9783642119590
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Описание: The 2010 International Symposium on Integrated Uncertainty Management and Applications (IUM`2010), which takes place at the Japan Advanced Institute of Science and Technology (JAIST), Ishikawa, Japan, between 9th-11th April, is therefore conceived as a forum for the discussion and exchange of research results, ideas for and experience of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.

Автор: Jaime Gil-Aluja
Название: The Interactive Management of Human Resources in Uncertainty
ISBN: 1461333318 ISBN-13(EAN): 9781461333319
Издательство: Springer
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Описание: Retraining through the acquisition of new abilities 218 REFERENCES 222 FINAL CONSIDERATIONS 224 VI PREFACE The ups and downs faced by society during the latter half of the XX`Th century, have left remnants, from the uncertainty of which could emerge a different way of living together.

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

Автор: Shi-Yu Huang; Jaques Teghem
Название: Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty
ISBN: 0792308875 ISBN-13(EAN): 9780792308874
Издательство: Springer
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Описание: Lastly the constraints, expressed by equalities or inequalities between linear expressions, are often softer in reality that what their mathematical expression might let us believe, and infeasibility as detected by the linear programming techniques can often been coped with by making trade-offs with the real world.