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E-raamat: Weighting Methods and their Effects on Multi-Criteria Decision Making Model Outcomes in Water Resources Management

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Weighting Methods and their Effects on Multi-Criteria Decision Making Model Outcomes in Water Resources ManagementSuurem pilt
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This book provides a systematic way of how to make better decisions in water resources management. The applications of three weighting methods namely rating, ranking, and ratio are discussed in this book. Additionally, data mining on keywords is presented using three popular scholarly databases: Science Direct, Scopus, and SciVerse. Four abbreviated keywords (MCDM, MCDA, MCA, MADM) representing multi-criteria decision-making were used and these three databases were searched for different popular weighting methods for a period of 13 years (2000-2012). The book provides also a review of weighting methods applied in various multi-criteria decision-making (MCDM) methods and also presents survey results on priority ranking of watershed management criteria undertaken by 30 undergraduate and postgraduate students from the Faculty of Civil Engineering, Universiti Teknologi Malaysia.
1 Introduction
1(6)
1.1 Introduction
1(1)
1.2 Problem Background
2(1)
1.3 Problem Statement
3(1)
1.4 Objectives of the Study
4(1)
1.5 Scope of the Study
4(1)
1.6 Significance of the Study
4(1)
1.7
Chapter Summary
5(1)
1.8 Report Organization
5(2)
2 Literature Review
7(62)
2.1 Introduction
7(1)
2.2 Decision-Making Process
7(2)
2.3 Multi-Criteria Decision-Making
9(1)
2.4 Classification of Multi-Criteria Decision-Making Methods
10(1)
2.5 Characteristics of Different Multi-Criteria Methods
11(1)
2.6 Strengths and Weaknesses of MCDM Methods
12(2)
2.7 How to Select an Appropriate MCDM Method
14(1)
2.8 The Role of Weights and Their Interpretation in MCDM Methods
14(9)
2.9 Classification of Weighting Methods
23(2)
2.9.1 Subjective Weighting Methods
23(1)
2.9.2 Objective Weighting Methods
24(1)
2.10 Popular Subjective Weighting Methods
25(7)
2.10.1 Direct Rating Method
26(1)
2.10.2 Ranking Method
26(1)
2.10.3 Point Allocation
27(1)
2.10.4 Pairwise Comparison Method
28(1)
2.10.5 Ratio Weighting Method
29(1)
2.10.6 Swing Weighting Method
29(1)
2.10.7 Graphical Weighting Method
30(1)
2.10.8 Delphi Method
30(1)
2.10.9 Simple Multi-attribute Rating Technique (SMART)
31(1)
2.10.10 SIMOS Weighting Method
31(1)
2.10.11 Revised SIMOS Weighting Method
32(1)
2.10.12 Fixed Point Scoring
32(1)
2.11 Popular Objective Weighting Methods
32(5)
2.11.1 Entropy Method
33(1)
2.11.2 CRITIC Weighting Method
33(1)
2.11.3 Mean Weight (MW)
34(1)
2.11.4 Standard Deviation Method
34(1)
2.11.5 Statistical Variance Procedure
35(1)
2.11.6 Integrated or Combined Weighting Methods
35(1)
2.11.7 Direct Ranking
36(1)
2.11.8 Qualitative Rating Method
36(1)
2.12 Objective Weighting Methods Used in Past Studies
37(1)
2.13 Subjective and Objective Weighting Methods Used in Past Studies
37(1)
2.14 Selection of Weighting Method
37(17)
2.15 Weighting Methods Supported by Softwares
54(3)
2.15.1 Pairwise Comparison
54(1)
2.15.2 Point Allocation Method
55(1)
2.15.3 Ranking Method
55(1)
2.15.4 Rating Method
55(1)
2.15.5 SMART Weighting Method
55(1)
2.15.6 SWING Weighting Method
56(1)
2.15.7 Trade-off Weighting Method
56(1)
2.15.8 Delphi Method
57(1)
2.15.9 Revised SIMOS Procedure
57(1)
2.16 Advantages and Disadvantages of Weighting Methods
57(12)
2.16.1 Pairwise Comparison
58(1)
2.16.2 Simple Multi-attribute Rating Technique (SMART)
59(1)
2.16.3 Point Allocation Method
60(1)
2.16.4 Revised SIMOS' Procedure
61(1)
2.16.5 Trade-off Weighting Method
62(1)
2.16.6 Delphi Method
63(1)
2.16.7 SWING Method
63(2)
2.16.8 Entropy Method
65(1)
2.16.9 Rank Ordering Centroid
66(1)
2.16.10 CRITIC Method
66(3)
3 Research Methodology and Results
69(32)
3.1 Introduction
69(1)
3.2 Methodology
69(2)
3.3 Survey Questionnaire
71(3)
3.4 Questionnaire Administration
74(2)
3.4.1 Postgraduate Survey Data Analysis
75(1)
3.5 Weights for the Watershed Management Criteria
76(5)
3.6 Summary on Criteria Weights
81(3)
3.7 Surveying Popular Databases for the Weighting Methods
84(17)
4 Conclusions and Recommendations
101(6)
4.1
Chapter Summary
101(1)
4.2 Conclusions
101(3)
4.3 Recommendations
104(3)
Appendix A 107(16)
Appendix B 123(12)
Appendix C 135(22)
References 157
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