Directory of theoretical methods and application research of multi-objective decision analysis

1. 1

The meaning of 1. 1

1. 1.2 The position of decision-making in management

1.2 decision-making process

1.2. 1 Four stages of the decision-making process

1.2.2 Schematic diagram of decision-making process

1.3 decision science

1.3. 1 Importance of decision-making

1.3.2 decision science and scientific decision

1.4 classification of decisions

1.4 rational decision 1 normative decision

1.4.2 Descriptive Decision Theory (Behavior Decision)

1.5 bounded rational decision theory

1.6 development trend of decision science

1.7 Multi-objective decision theory and method, an important part of modern decision science

1.8 Content framework of this book

Chapter 2: Basic concepts of multi-objective decision-making problems.

2. 1 Multi-objective decision-making problem

2. 1. 1 multi-objective

2. 1.2 Characteristics of multi-objective decision-making problems

2. 1.3 Solutions to Multi-objective Decision Making Problems

2. 1.4 decision-making mode

2.2 Description of some terms in multi-objective decision-making

2.2. 1 target

2.2.2 Hierarchy of objectives

2.2.3 Scheme

2.2.4 Decision makers and decision-making units

Preference information

weight

2.3 Types and modes of multi-objective decision-making

2.3. 1 Multi-objective decision-making type

2.3.2 Multi-objective decision-making model

Summary of this chapter

Chapter 3: Basic concepts of multi-attribute decision analysis.

3. 1 Multi-attribute decision-making problem and its basic elements

3.2 Decision Matrix

3.3 According to the classification analysis method of multi-attribute decision-making, the form of information is given.

3.4 The process of multi-attribute decision analysis

3.5 dimensionless scheme attribute value

3.5. 1 Quantization of qualitative attributes (or fuzzy attribute values)

3.5.2 Normalization of attribute values in different dimensions

3.6 Determination of relative importance (weight) of attributes

3.6. 1 Subjective and objective weighting method

Direct ratio

3.6.3 Trade-offs

Swing method

Eigenvector method

Least square sum method

Entropy method

3.6.8 When the relationship between ordinal scale and attribute is uncertain.

Summary of this chapter

Chapter 4: Traditional multi-attribute decision-making methods.

4. 1 simple addition weighting method

4. 1. 1 decision-making process of simple weighting method

4. 1.2 Application Case Analysis of Simple Weighting Method

Comments on 4. 1.3 Simple Weighting Method

4.2 Multi-attribute value function MAW.

4.2. 1 multi-attribute-valued function model

4.2.2 Local single attribute preference function

4.3 TOPSIS method

4.3. 1 Decision analysis steps of the method of approaching ideal point

4.3.2 TOPSIS application case analysis

4.3.3 Comments on TOPSIS Decision Analysis Method

Summary of this chapter

Chapter V Analytic Hierarchy Process

5. 1 Overview of Analytic Hierarchy Process

5. 1. 1 Analytic Hierarchy Process

5. 1.2 Consistency Test of Judgment Matrix A

5.2 Analytical Steps of Analytic Hierarchy Process

5.2. 1 Define the problem and establish the hierarchy.

5.2.2 Construction of Judgment Matrix

5.2.3 Ordering (weight calculation) and consistency check of each judgment matrix

5.2.4 General level ranking and its consistency test

5.2.5 conclusion analysis

5.3 Number of grades in the hierarchy

5.3. 1 four hierarchies

5.3.2 Number of grading indicators (factors)

5.4 Evaluation of Analytic Hierarchy Process

5.4. 1 Dispute about Analytic Hierarchy Process

5.4.2 Controversy on the Inverse Order (Inconsistency) of Analytic Hierarchy Process

5.5 ANP network analysis method

5.5. 1 extension of AHP ANP

5.5.2 Characteristics of ANP spoon

5.5.3 Super Matrix Algorithm of ANP

5.5.4 Decision-making Steps of ANP

5. 5. 5 ANP application case

Summary of this chapter

Chapter VI Multi-attribute Decision-making with Levels Not Lower than Relationships

Chapter 7 Sensitivity analysis of multi-attribute decision-making.

Chapter VIII Fuzzy Evaluation and Fuzzy Analytic Hierarchy Process

Chapter 9 Basic concepts of multi-objective decision analysis

Chapter 10 Target Programming Method for Pre-notifying Preference Information

Chapter 1 1 MODM method step-by-step preference information (interaction)

Chapter 12 Introduction to Group Decision-making

13 application of artificial intelligence in multi-objective decision analysis

14 chapter multi-objective decision analysis software tools

refer to