Decision-making is a key factor to achieve success in any discipline, especially in a field like civil engineering, which is based on calculations and requires large amounts of information being taken into account. Most processes and procedures are a compendium of many different tasks and requirements specific to each project under development, and making decisions in such environments can often be an arduous endeavor. That is why the need for analytical criteria capable of assisting with untangling complex scenarios has arisen preponderantly. As an all-encompassing resource, Multicriteria Decision-Making Analysis for Civil Engineering Applications facilitates civil engineers by outlining state-of-the-art techniques for quantitative decision-making to optimally select the appropriate approach when faced with operational issues or to prioritize among multiple options. Authored by recognized experts in the field, this book proves to be a balanced reference volume that is essential not just for civil engineers, but also for a wide variety of audiences in interconnected disciplines.
1. 2. Introduction to multicriteria decision-making - p. 25 2. Abstract - p. 25 3. 2.1 Introduction - p. 25 4. 2.2 Quantification of decision components - p. 27 5. 2.3 Normalization - p. 30 6. 2.4 Weighting of decision components - p. 45 7. 2.5 Conclusion - p. 99 8. References - p. 99 9. 3. Scoring methods - p. 103 10. Abstract - p. 103 11. 3.1 Introduction - p. 103 12. 3.2 Simple additive weighting technique - p. 105 13. 3.3 Simple multiattribute rating technique method - p. 117 14. 3.4 MOORA technique - p. 138 15. 3.5 Summary of the rankings - p. 153 16. 3.6 Complex proportional assessment technique - p. 154 17. 3.7 Conclusion - p. 171 18. References - p. 172 19. 4. Compromising methods - p. 175 20. Abstract - p. 175 21. 4.1 Introduction - p. 175 22. 4.2 TOPSIS method - p. 181 23. 4.3 VIKOR technique - p. 196 24. 4.4 LINMAP technique - p. 218 25. 4.5 Conclusion - p. 233 26. References - p. 234 27. 5. Pairwise comparison techniques - p. 237 28. Abstract - p. 237 29. 5.1 Introduction - p. 237 30. 5.2 The importance weights of the pairwise comparisons matrix methods - p. 248 31. 5.3 Analytic hierarchy process technique - p. 283 32. 5.4 The modified analytic hierarchy process technique - p. 317 33. 5.5 Decision-making trial and evaluation laboratory technique - p. 335 34. 5.6 Best–worst technique - p. 348 35. 5.7 Conclusion - p. 365 36. References - p. 365 37. 6. Outranking methods - p. 369 38. Abstract - p. 369 39. 6.1 Introduction - p. 369 40. 6.2 Modeling preferences by outranking method - p. 373 41. 6.3 PROMETHEE technique - p. 387 42. 6.4 ELECTRE IV technique - p. 437 43. 6.5 ELECTRE II technique - p. 454 44. 6.6 ELECTRE III technique - p. 473 45. 6.7 EVAMIX technique - p. 489 46. 6.8 REGIME technique - p. 511 47. 6.9 Conclusion - p. 524 48. References - p. 525 49. 7. Multicriteria decision-making under uncertainty - p. 529 50. Abstract - p. 529 51. 7.1 Introduction - p. 529 52. 7.2 Fuzzy multicriteria decision-making - p. 530 53. 7.3 Quantification of linguistic variables using fuzzy scales - p. 542 54. 7.4 Converting fuzzy numbers to definite numbers (defuzzification) - p. 545 55. 7.5 Fuzzy multicriteria decision-making techniques - p. 546 56. 7.6 Conclusion - p. 645 57. References - p. 645 58. 8. Group decision-making - p. 649 59. 9. Application of integrated MCDM methods in civil engineering - p. 701 60. Abstract - p. 701 61. 9.1 Introduction - p. 701 62. 9.2 Integrated fuzzy Delphi and fuzzy ELECTRE III methods - p. 702 63. 9.3 Integrated fuzzy AHP and fuzzy VIKOR method - p. 717 64. 9.4 Integration of fuzzy AHP and fuzzy TOPSIS models - p. 734 65. 9.5 Conclusion - p. 746 66. References - p. 747 67. 10. Artificial intelligence algorithms and multicriteria decision-making - p. 751 68. 11. Application of Microsoft Excel in multicriteria decision-making - p. 785 69. Index - p. 875
Decision-making is a key factor to achieve success in any discipline, especially in a field like civil engineering, which is based on calculations and requires large amounts of information being taken into account. Most processes and procedures are a compendium of many different tasks and requirements specific to each project under development, and making decisions in such environments can often be an arduous endeavor. That is why the need for analytical criteria capable of assisting with untangling complex scenarios has arisen preponderantly. As an all-encompassing resource, Multicriteria Decision-Making Analysis for Civil Engineering Applications facilitates civil engineers by outlining state-of-the-art techniques for quantitative decision-making to optimally select the appropriate approach when faced with operational issues or to prioritize among multiple options. Authored by recognized experts in the field, this book proves to be a balanced reference volume that is essential not just for civil engineers, but also for a wide variety of audiences in interconnected disciplines.
1. 2. Introduction to multicriteria decision-making - p. 25 2. Abstract - p. 25 3. 2.1 Introduction - p. 25 4. 2.2 Quantification of decision components - p. 27 5. 2.3 Normalization - p. 30 6. 2.4 Weighting of decision components - p. 45 7. 2.5 Conclusion - p. 99 8. References - p. 99 9. 3. Scoring methods - p. 103 10. Abstract - p. 103 11. 3.1 Introduction - p. 103 12. 3.2 Simple additive weighting technique - p. 105 13. 3.3 Simple multiattribute rating technique method - p. 117 14. 3.4 MOORA technique - p. 138 15. 3.5 Summary of the rankings - p. 153 16. 3.6 Complex proportional assessment technique - p. 154 17. 3.7 Conclusion - p. 171 18. References - p. 172 19. 4. Compromising methods - p. 175 20. Abstract - p. 175 21. 4.1 Introduction - p. 175 22. 4.2 TOPSIS method - p. 181 23. 4.3 VIKOR technique - p. 196 24. 4.4 LINMAP technique - p. 218 25. 4.5 Conclusion - p. 233 26. References - p. 234 27. 5. Pairwise comparison techniques - p. 237 28. Abstract - p. 237 29. 5.1 Introduction - p. 237 30. 5.2 The importance weights of the pairwise comparisons matrix methods - p. 248 31. 5.3 Analytic hierarchy process technique - p. 283 32. 5.4 The modified analytic hierarchy process technique - p. 317 33. 5.5 Decision-making trial and evaluation laboratory technique - p. 335 34. 5.6 Best–worst technique - p. 348 35. 5.7 Conclusion - p. 365 36. References - p. 365 37. 6. Outranking methods - p. 369 38. Abstract - p. 369 39. 6.1 Introduction - p. 369 40. 6.2 Modeling preferences by outranking method - p. 373 41. 6.3 PROMETHEE technique - p. 387 42. 6.4 ELECTRE IV technique - p. 437 43. 6.5 ELECTRE II technique - p. 454 44. 6.6 ELECTRE III technique - p. 473 45. 6.7 EVAMIX technique - p. 489 46. 6.8 REGIME technique - p. 511 47. 6.9 Conclusion - p. 524 48. References - p. 525 49. 7. Multicriteria decision-making under uncertainty - p. 529 50. Abstract - p. 529 51. 7.1 Introduction - p. 529 52. 7.2 Fuzzy multicriteria decision-making - p. 530 53. 7.3 Quantification of linguistic variables using fuzzy scales - p. 542 54. 7.4 Converting fuzzy numbers to definite numbers (defuzzification) - p. 545 55. 7.5 Fuzzy multicriteria decision-making techniques - p. 546 56. 7.6 Conclusion - p. 645 57. References - p. 645 58. 8. Group decision-making - p. 649 59. 9. Application of integrated MCDM methods in civil engineering - p. 701 60. Abstract - p. 701 61. 9.1 Introduction - p. 701 62. 9.2 Integrated fuzzy Delphi and fuzzy ELECTRE III methods - p. 702 63. 9.3 Integrated fuzzy AHP and fuzzy VIKOR method - p. 717 64. 9.4 Integration of fuzzy AHP and fuzzy TOPSIS models - p. 734 65. 9.5 Conclusion - p. 746 66. References - p. 747 67. 10. Artificial intelligence algorithms and multicriteria decision-making - p. 751 68. 11. Application of Microsoft Excel in multicriteria decision-making - p. 785 69. Index - p. 875
