|
Ahmad, Irtishad, & Minkarah, Issam. (1988). Questionnaire survey on bidding in construction. Journal of Management in Engineering, 4(3), 229-243. Aragones-Beltran, P, Chaparro-Gonzalez, F, Pastor-Ferrando, JP, & Rodriguez-Pozo, F. (2010). An ANP-based approach for the selection of photovoltaic solar power plant investment projects. Renewable and Sustainable Energy Reviews, 14(1), 249-264. Cagno, Enrico, Caron, Franco, & Perego, Alessandro. (2001). Multi-criteria assessment of the probability of winning in the competitive bidding process. International Journal of Project Management, 19(6), 313-324. Chang, Ping-Teng, & Lee, Jung-Hua. (2012). A fuzzy DEA and knapsack formulation integrated model for project selection. Computers & Operations Research, 39(1), 112-125. Chen, Yumin, Miao, Duoqian, & Wang, Ruizhi. (2010). A rough set approach to feature selection based on ant colony optimization. Pattern Recognition Letters, 31(3), 226-233. Cheng, Eddie WL, & Li, Heng. (2005). Analytic network process applied to project selection. Journal of Construction Engineering and Management, 131(4), 459-466. Chua, DKH, & Li, D. (2000). Key factors in bid reasoning model. Journal of Construction Engineering and Management, 126(5), 349-357. Chua, DKH, Li, DZ, & Chan, WT. (2001). Case-based reasoning approach in bid decision making. Journal of Construction Engineering and Management, 127(1), 35-45. Conejo, Antonio J, Nogales, Francisco Javier, & Arroyo, Jose Manuel. (2002). Price-taker bidding strategy under price uncertainty. Power Systems, IEEE Transactions on, 17(4), 1081-1088. Dozzi, SP, AbouRizk, SM, & Schroeder, SL. (1996). Utility-theory model for bid markup decisions. Journal of Construction Engineering and Management, 122(2), 119-124. Dulaimi, Mohammed Fadhil, & Shan, Hon Guo. (2002). The factors influencing bid mark-up decisions of large-and medium-size contractors in Singapore. Construction Management & Economics, 20(7), 601-610. El-Sayegh, Sameh Monir. (2008). Risk assessment and allocation in the UAE construction industry. International Journal of Project Management, 26(4), 431-438. Fang, Sheng-Kai, Shyng, Jhieh-Yu, Lee, Wen-Shiung, & Tzeng, Gwo-Hshiung. (2012). Exploring the preference of customers between financial companies and agents based on TCA. Knowledge-Based Systems, 27, 137-151. Friedman, Lawrence. (1956). A competitive-bidding strategy. Operations research, 4(1), 104-112. Greco, Salvatore, Matarazzo, Benedetto, & Słowinński, Roman. (2005). Decision rule approach Multiple criteria decision analysis: state of the art surveys (pp. 507-555): Springer. Greco, Salvatore, Matarazzo, Benedetto, & Slowinski, Roman. (1998). A new rough set approach to evaluation of bankruptcy risk Operational tools in the management of financial risks (pp. 121-136): Springer. Herawan, Tutut, Deris, Mustafa Mat, & Abawajy, Jemal H. (2010). A rough set approach for selecting clustering attribute. Knowledge-Based Systems, 23(3), 220-231. Iamratanakul, Supachart, Patanakul, Peerasit, & Milosevic, Dragan. (2008). Project portfolio selection: From past to present. Paper presented at the Management of Innovation and Technology, 2008. ICMIT 2008. 4th IEEE International Conference on. Khazaeni, Garshasb, Khanzadi, Mostafa, & Afshar, Abas. (2012). Fuzzy adaptive decision making model for selection balanced risk allocation. International Journal of Project Management, 30(4), 511-522. Kuo, Yao-Chen, & Lu, Shih-Tong. (2012). Using fuzzy multiple criteria decision making approach to enhance risk assessment for metropolitan construction projects. International Journal of Project Management. Kusiak, Andrew. (2000). Decomposition in data mining: an industrial case study. Electronics Packaging Manufacturing, IEEE Transactions on, 23(4), 345-353. Kusiak, Andrew. (2001). Rough set theory: a data mining tool for semiconductor manufacturing. Electronics Packaging Manufacturing, IEEE Transactions on, 24(1), 44-50. Lai, Yu-Ting, Wang, Wei-Chih, & Wang, Han-Hsiang. (2008). AHP-and simulation-based budget determination procedure for public building construction projects. Automation in Construction, 17(5), 623-632. Li, Yan, Shiu, Simon CK, Pal, Sankar K, & Liu, James NK. (2006). A rough set-based case-based reasoner for text categorization. International journal of approximate reasoning, 41(2), 229-255. Li, Zongzhi, & Madanu, Sunil. (2009). Highway project level life-cycle benefit/cost analysis under certainty, risk, and uncertainty: methodology with case study. Journal of Transportation Engineering, 135(8), 516-526. Liesio, Juuso, Mild, Pekka, & Salo, Ahti. (2007). Preference programming for robust portfolio modeling and project selection. European Journal of Operational Research, 181(3), 1488-1505. Lin, Ching-Torng, & Chen, Ying-Te. (2004). Bid/no-bid decision-making–a fuzzy linguistic approach. International Journal of Project Management, 22(7), 585-593. Liou, James JH, & Tzeng, Gwo-Hshiung. (2010). A dominance-based rough set approach to customer behavior in the airline market. Information Sciences, 180(11), 2230-2238. Medaglia, Andres L, Graves, Samuel B, & Ringuest, Jeffrey L. (2007). A multiobjective evolutionary approach for linearly constrained project selection under uncertainty. European journal of operational research, 179(3), 869-894. Nieto-Morote, A, & Ruz-Vila, F. (2011). A fuzzy approach to construction project risk assessment. International Journal of Project Management, 29(2), 220-231. Pastor-Ferrando, JP, Aragones-Beltran, P, Hospitaler-Perez, A, & Garcia-Melon, M. (2010). An ANP-and AHP-based approach for weighting criteria in public works bidding. Journal of the Operational Research Society, 61(6), 905-916. Pawlak, Zdzisław. (1982). Rough sets. International Journal of Parallel Programming, 11(5), 341-356. Pawlak, Zdzisław. (2002). Rough sets, decision algorithms and Bayes'' theorem. European Journal of Operational Research, 136(1), 181-189. Pawlak, Zdzislaw, Grzymala-Busse, Jerzy, Slowinski, Roman, & Ziarko, Wojciech. (1995). Rough sets. Communications of the ACM, 38(11), 88-95. Seydel, John, & Olson, David L. (1990). Bids considering multiple criteria. Journal of Construction Engineering and Management, 116(4), 609-623. Shakhsi-Niaei, M, Torabi, SA, & Iranmanesh, SH. (2011). A comprehensive framework for project selection problem under uncertainty and real-world constraints. Computers & Industrial Engineering, 61(1), 226-237. Shyng, Jhieh-Yu, Wang, Fang-Kuo, Tzeng, Gwo-Hshiung, & Wu, Kun-Shan. (2007). Rough set theory in analyzing the attributes of combination values for the insurance market. Expert Systems with Applications, 32(1), 56-64. Singh, D, & Tiong, Robert LK. (2005). A fuzzy decision framework for contractor selection. Journal of Construction Engineering and Management, 131(1), 62-70. Sipahi, Seyhan, & Esen, Oner. (2010). A multi-criteria model for bidding evaluation: an alternative selection of the best firms for the presentation of Istanbul 2010. Management Decision, 48(2), 296-313. Slowinski, Roman, Greco, Salvatore, & Matarazzo, Benedetto. (2005). Rough set based decision support Search Methodologies (pp. 475-527): Springer. Słowiński, Roman, Greco, Salvatore, & Matarazzo, Benedetto. (2007). Dominance-based rough set approach to reasoning about ordinal data Rough Sets and Intelligent Systems Paradigms (pp. 5-11): Springer. Soroor, Javad, Tarokh, Mohammad Jafar, Khoshalhan, Farid, & Sajjadi, Sara. (2011). Coordinated supplier bid selection based on customer order placement using an autonomous F-AHP–QFD-oriented methodology. International Journal of Production Research(ahead-of-print), 1-18. Tan, Yong-tao, Shen, Li-yin, Langston, Craig, & Liu, Yan. (2010). Construction project selection using fuzzy TOPSIS approach. Journal of modelling in management, 5(3), 302-315. Tay, Francis EH, & Shen, Lixiang. (2002). Economic and financial prediction using rough sets model. European Journal of Operational Research, 141(3), 641-659. Thangavel, K, & Pethalakshmi, A. (2009). Dimensionality reduction based on rough set theory: A review. Applied Soft Computing, 9(1), 1-12. Walczak, B, & Massart, DL. (1999). Rough sets theory. Chemometrics and intelligent laboratory systems, 47(1), 1-16. Wang, Jin, Xu, Yujie, & Li, Zhun. (2009). Research on project selection system of pre-evaluation of engineering design project bidding. International Journal of Project Management, 27(6), 584-599. Wang, Wei-Chih, Yu, Wen-der, Yang, I-Tung, Lin, Chun-Chang, Lee, Ming-Tsung, & Cheng, Yuan-Yuan. (2013). Applying the AHP to support the best-value contractor selection–lessons learned from two case studies in Taiwan. Journal of Civil Engineering and Management, 19(1), 24-36. Wanous, M, Boussabaine, AH, & Lewis, J. (2000). To bid or not to bid: a parametric solution. Construction Management & Economics, 18(4), 457-466. Weingartner, H Martin. (1966a). Capital budgeting of interrelated projects: survey and synthesis. Management Science, 12(7), 485-516. Weingartner, H Martin. (1966b). Criteria for programming investment project selection. The Journal of industrial economics, 65-76. Weingartner, H Martin. (1967). Mathematical programming and the analysis of capital budgeting problems: Markham Publishing Company Chicago, Ill. Wey, Wann-Ming. (2008). A multiobjective optimization model for urban renewal projects selection with uncertainty considerations. Paper presented at the Natural Computation, 2008. ICNC''08. Fourth International Conference on. Yazgan, Harun Resit, Boran, Semra, & Goztepe, Kerim. (2009). An ERP software selection process with using artificial neural network based on analytic network process approach. Expert Systems with Applications, 36(5), 9214-9222. Yean Yng Ling, Florence, & Liu, Min. (2005). Factors considered by successful and profitable contractors in mark-up size decision in Singapore. Building and environment, 40(11), 1557-1565. Yeh, Ching-Chiang, Chi, Der-Jang, & Hsu, Ming-Fu. (2010). A hybrid approach of DEA, rough set and support vector machines for business failure prediction. Expert Systems with Applications, 37(2), 1535-1541.
|