A fuzzy multi-criteria decision analysis model for advanced technology assessment at Kennedy Space Center

Journal of the Operational Research Society

Volumn 61, Issue 10, 2010, Pages 1459-1470

  Tavana, M ^a   Sodenkamp, M A ^b  

^a LA SALLE UNIVERSITY   (United States)

^b UNIVERSITY OF PADERBORN   (Germany)

Author keywords

analytic network process; entropy; fuzzy systems; multi criteria decision analysis; theory of displaced ideal

Indexed keywords

EID: 77956922098     PISSN: 01605682     EISSN: 14769360     Source Type: Journal    
DOI: 10.1057/jors.2009.107     Document Type: Article

References (92)

1. Abacoumkin C and Ballis A (2004). Development of an expert system for the evaluation of conventional and innovative technologies in the intermodal transport area. Eur J Opl Res 152: 420-436.
2. Aguaŕon J and Moreno-Jiḿenez JM (2000). Local stability intervals in the analytic hierarchy process. Eur J Opl Res 125: 113-132.
3. Ali YM and Zhang L (2001). A methodology for fuzzy modeling of engineering systems. Fuzzy Sets and Systems 118: 181-197.
4. Bailey D, Goonetilleke A and Campbell D (2003). A new fuzzy multicriteria evaluation method for group site selection in GIS. Journal of Multicriteria Decision Analysis 12: 337-347.
5. Barzilai J (1997). Deriving weights from pairwise comparison matrices. J Opl Res Soc 48: 1226-1232.
6. Barzilai J and Golany B (1994). AHP rank reversal, normalization and aggregation rules. INFOR 32: 57-63.
7. Belton V and Stewart TJ (2002). Multiple criteria decision analysis: an integrated approach. Kluwer: Norwell, MA.
8. Bouyssou D (1990). Building criteria: A prerequisite for MCDA. In: Bana e Costa CA (ed). Readings in MCDA. Springer-Verlag: Heidelberg, pp 58-80.
9. Brun WAT and Teigen KH (1988). Verbal probabilities: Ambiguous, context-dependent, or both? Organ Behav Hum Dec 41: 390-404.
10. Budescu DV and Wallsten TS (1985). Consistency in interpretation of probabilistic phrases. Organ Behav Hum Dec 36: 391-405.
11. Costa JP, Melo P, Godinho P and Dias LC (2003). The AGAP system: A GDSS for project analysis and evaluation. Eur J Opl Res 145: 287-303.
12. De Kluyver CA and Moskowitz H (1984). Assessing scenario probabilities via interactive goal programming. Mngt Sci 30: 273-278.
13. De Luca A and Termini S (1972). A definition of a non-probabilistic entropy in the setting of fuzzy sets theory. Inform Control 20: 301-312.
14. Dubois D and Prade H (1993). Fuzzy sets and probability: Misunderstandings, bridges and gaps. In: Proceedings of the Second IEEE International Conference on Fuzzy Systems, IEEE: San Francisco, pp 1059-1068.
15. Dubois D and Prade H (2000). Fundamentals of fuzzy sets. Kluwer Academic Publishers: Dordrecht, The Netherlands.
16. Dyer JS (1990). Remarks on the analytic hierarchy process. Mngt Sci 36: 249-258.
17. Eleye-Datubo AG, Wall A and Wang J (2008). Marine and offshore safety assessment by incorporative risk modeling in a fuzzy-Bayesian network of an induced mass assignment paradigm. Risk Analysis 28(1): 95-112.
18. Escobar MT, Aguaŕon and Moreno-Jiḿenez JM (2004). A note on AHP group consistency for the row geometric mean priorization procedure. Eur J Opl Res 153: 318-322.
19. Expert Choice [Computer Software] (2006). Decision Support Software Inc.: McLean, VA.
20. Festinger L (1964). Conflict, Decision and Dissonance. Tavistock Publications Ltd: London, Great Britain.
21. Friedlob GT and Schleifer LLF (1999). Fuzzy logic: Application for audit risk and uncertainty. Manage Auditing J 14(3): 127-137.
22. Girotra K, Terwiesch C and Ulrich KT (2007). Valuing R&D projects in a portfolio: Evidence from the pharmaceutical industry. Mngt Sci 53: 1452-1466.
23. Gouveia MC, Dias LC and Antunes CH (2008). Additive DEA based on MCDA with imprecise information. J Opl Res Soc 59: 54-63.
24. Graves SB and Ringuest JL (1991). Evaluating competing R&D investments. Res Technol Manage 34(4): 32-36.
25. Harker PT and Vargas LG (1987). The theory of ratio scale estimation: Saaty's analytic hierarchy process. Mngt Sci 33: 1383-1403.
26. Harker PT and Vargas LG (1990). Reply to 'Remarks on the analytic hierarchy process' by J.S. Dyer. Mngt Sci 36: 269-273.
27. Hazelrigg GA Jr. and Huband FL (1985). RADSIM-A methodology for large-scale R&D program assessment. IEEE T Eng Mngt 32(3): 106-116.
28. Ho W (2008). Integrated analytic hierarchy process and its applications-A literature review. Eur J Opl Res 186: 211-228.
29. Hsieh T-Y, Lu S-T and Tzeng G-H (2004). Fuzzy MCDM approach for planning and design tenders selection in public office buildings. Int J Proj Mngt 22: 573-584.
30. Hwang CL and Lin MJ (1987). Group decision making under multiple criteria. Lecture Notes in Economics and Mathematical Systems, No.281. Springer: Berlin.
31. Intan R and Mukaidono M (2004). Fuzzy conditional probability relations and their applications in fuzzy information systems. Knowl Inform Syst 6: 345-365.
32. Iz P and Gardiner RL (1993). Analysis of multiple criteria decision support systems for cooperative groups. Group Decis and Negot 2: 61-79.
33. Jahan-Shahi H, Shayan E and Masood S (1999). Cost estimation in flat plate processing using fuzzy sets. Comput Indu Eng 37(1,2): 485-488.
34. Jessup LM and Valacich JS (1993). Group Support Systems. New Perspectives. Macmillan: New York, NY.
35. Julien B (1994). Water quality management with imprecise information. Eur J Opl Res 76: 15-27.
36. Kim SH and Ahn BS (1999). Interactive group decision making procedure under incomplete information. Eur J Opl Res 116(3): 498-507.
37. Kleindorfer PR, Kunreuther HC and Schoemaker PJH (1993). Decision Sciences: An Integrative Perspective. Cambridge University Press: New York, NY.
38. Klir GJ and Yuan B (1995). Fuzzy Sets and Fuzzy Logic, Theory and Applications. Prentice Hall: Upper Saddle River, NJ.
39. Koriat A, Lichtenstein S and Fischoff B (1980). Reasons for confidence. J Exp Psychol 6: 107-118.
40. Leskinen P and Kangas J (2005). Rank reversals in multi-criteria decision analysis with statistical modelling of ratio-scale pairwise comparisons. J Opl Res Soc 56: 855-861.
41. Leyva-Ĺopez JC and Ferńandez-Gonźalez E (2003). A new method for group decision support based on ELECTRE III methodology. Eur J Opl Res 148: 14-27.
42. Liesiö J, Mild P and Salo A (2007). Preference programming for robust portfolio modeling and project selection. Eur J Opl Res 181: 1488-1505.
43. Lootsma FA, Mensch TCA and Vos FA (1990). Multi-criteria analysis and budget reallocation in long-term research planning. Eur J Opl Res 47: 293-305.
44. Mandakovic T and Souder WE (1985). An interactive decomposable heuristic for project selection. Mngt Sci 31: 1257-1271.
45. Mathieu RG and Gibson JE (1993). A methodology for large-scale R&D planning based on cluster analysis. IEEE T Eng Mngt 40: 283-292.
46. Mehrez A (1988). Selecting R&D projects: A case study of the expected utility approach. Technovation 8: 299-311.
47. Merkhofer MW (1987). Quantifying judgmental uncertainty: Methodology, experiences, and insights. IEEE T Syst Man Cyb 17: 741-752.
48. Mojsilovíc A, Ray B, Lawrence R and Takriti S (2007). A logistic regression framework for information technology outsourcing lifecycle management. Comput Oper Res 34: 3609-3627.
49. Moore JR and Baker NR (1969). An analytical approach to scoring model design-Application to research and development project selection. IEEE T Eng Mngt 16(3): 90-98.
50. Muralidhar K, Santhanam R and Wilson RL (1990). Using analytic hierarchy process for information system project selection. Inform Mngt 18(2): 87-95.
51. Muzzioli S and Reynaerts H (2007). The solution of fuzzy linear systems by non-linear programming: a financial application. Eur J Opl Res 177: 1218-1231.
52. Osawa Y (2003). How well did the new Sumitomo Electric project ranking method predict performance? Res Dev Mngt 33: 343-350.
53. Osawa Y and Murakami M (2002). Development and application of a new methodology of evaluating industrial R&D projects. Res Dev Mngt 32: 79-85
54. Paisittanand S and Olson DL (2006). A simulation study of IT outsourcing in the credit card business. Eur J Opl Res 175: 1248-1261.
55. Poyhonen MA, Hamalainen RP and Salo AA (1997). An experiment on the numerical modelling of verbal ratio statements. J Multi-Criteria Decis Anal 6(1): 1-10.
56. Roy B and Bouyssou D (1987). Famille de crit̀eres: Probl̀eme de coh́erence et de d́ependence. Decument du Lamsade 37, Universite Paris-Dauphine.
57. Roychowdhury S and Pedrycz W (2001). A survey of defuzzification strategies. Int J Intell Syst 16: 679-695.
58. Runkler TA (1996). Extended defuzzification methods and their properties. IEEE T 1: 694-700.
59. Saaty TL (1977). A scaling method for priorities in hierarchical structures. J Math Psychol 15: 234-281.
60. Saaty TL (1990a). How to make a decision: The analytic hierarchy process. Eur J Opl Res 48: 9-26.
61. Saaty TL (1990b). An exposition of the AHP in reply to the paper 'Remarks on the analytic hierarchy process'. Mngt Sci 36: 259-268.
62. Saaty TL (2006). Rank from comparisons and from ratings in the analytic hierarchy/network processes. Eur J Opl Res 168: 557-570.
63. Santhanam R and Kyparisis J (1995). A multiple criteria decision model for information system project selection. Comput Oper Res 22: 807-818.
64. Schelling TC (1960). The Strategy of Conflict. Harvard University Press: Cambridge, MA.
65. Schniederjans M and Santhanam R (1993). A multi-objective constrained resource information system project selection method. Eur J Oper Res 70: 244-253.
66. Schoemaker PJH (1993). Multiple scenario development: Its conceptual and behavioral foundation. Strateg Mngt J 14: 193-213.
67. Schoemaker PJH and Russo JE (1993). A pyramid of decision approaches. Calif Mngt Rev 36(1): 9-31.
68. Shannon CE (1948). A mathematical theory of communication. Bell Systems Technical Journal 27: 379-423, 625-656.
69. Shim JP (1989). Bibliographical research on the analytic hierarchy process (AHP). Socio-Econ Plan Sci 23: 161-167.
70. Spetzler CS and Stael von Holstein C-AS (1975). Probability encoding in decision analysis. Mngt Sci 22: 340-358.
71. Stover JG and Gordon TJ (1978). Cross-impact analysis. In: Fowles J (ed). Handbook of futures research, Greenwood: Westport: CN, pp 301-328.
72. Tavana M (2002). Euclid: Strategic alternative assessment matrix. J Multi-Criteria Decis Anal 11: 75-96.
73. Tavana M (2004). A subjective assessment of alternative mission architectures for the human exploration of Mars at NASA using multicriteria decision making. Comput Oper Res 31: 1147-1164.
74. Tavana M (2006). A priority assessment multi-criteria decision model for human spaceflight mission planning at NASA. J Opl Res Soc 57: 1197-1215.
75. Tavana M and Banerjee S (1995). Strategic assessment model (SAM): A multiple criteria decision support system for evaluation of strategic alternatives. Decis Sci 26: 119-143.
76. Tavana M, Kennedy D and Mohebbi B (1997). An applied study using the analytic hierarchy process to translate common verbal phrases to numerical probabilities. J Behav Decis Making 10: 133-150.
77. Thomas H (1985). Decision analysis and strategic management of research and development. Res Dev Mngt 15(1): 3-22.
78. Triantaphyllou E (2000). Multi-criteria Decision Making Methods: A Comparative Study. Kluwer Academic Publishers: Boston, MA.
79. Triantaphyllou E and Baig K (2005). The impact of aggregating benefit and cost criteria in four MCDA methods. IEEE T Eng Mngt 52: 213-226.
80. Triantaphyllou E and Mann SH (1995). Using the analytic hierarchy process for decision making in engineering applications: Some challenges. Int J Ind Eng-Appl P 2(1): 35-44.
81. Vaidya OS and Kumar S (2006). Analytic hierarchy process: An overview of applications. Eur J Opl Res 169: 1-29.
82. Valls A and Torra V (2000). Using classification as an aggregation tool in MCDM. Fuzzy Set and Syst 15(1): 159-168.
83. Van Leekwijk W and Kerre F (1999). Defuzzification: Criteria and classification. Fuzzy Sets and Systems 118: 159-178.
84. Vickers B (1992). Using GDSS to examine the future European automobile industry. Futures 24: 789-812.
85. Wang J and Hwang W-L (2007). A fuzzy set approach for R&D portfolio selection using a real options valuation model. Omega 35: 247-257.
86. Weigelt K and Macmillan I (1988). An integrative strategic analysis framework. Strateg Mngt J 9: 27-40.
87. Xu Z (2000). On consistency of the weighted geometric mean complex judgement matrix in AHP. Eur J Opl Res 126: 683-687.
88. Yang JB and Xu DL (2002). On the evidential reasoning algorithm for multiattribute decision analysis under uncertainty. IEEE T Syst Man Cy A 32: 289-304.
89. Zadeh LA (1965). Fuzzy sets. Inform Control 8: 338-353.
90. Zeleny MA (1974). Concept of compromise solutions and the method of the disptaced ideal. Comput Oper Res 1(3-4): 479-496.
91. Zeleny MA (1982). Multiple criteria decision making. McGraw-Hill: New York, NY.
92. Zimmermann H-J (1996). Fuzzy Set Theory and Its Applications. Kluwer Academic Publishers: Boston, MA.