Contractor selection for construction works by applying saw‐g and topsis grey techniques

References

• Arslan , G. , Kivrak , S. , Birgonul , M. T. and Dikmen , I. 2008 . Improving sub‐contractor selection process in construction projects: Web‐based sub‐contractor evaluation system (WEBSES) . Automation in Construction , 17 : 480 – 488 . doi:10.1016/j.autcon.2007.08.004
   Web of Science ®Google Scholar
• Bageis , A. S. and Fortune , C. 2009 . Factors affecting the bid/no bid decision in the Saudi Arabian construction contractors . Construction Management and Economics , 27 (1) : 53 – 71 . doi:10.1080/01446190802596220
   Google Scholar
• Banaitiene , N. , Banaitis , A. , Kaklauskas , A. and Zavadskas , E. K. 2008 . Evaluating the life cycle of building: A multivariant and multiple criteria approach . OMEGA ‐ The International Journal of Management Science , 36 (3) : 429 – 441 . doi:10.1016/j.omega.2005.10.010
   Web of Science ®Google Scholar
• Bayraktar , M. E. and Hastak , M. 2009 . A decision support system for selecting the optimal contracting strategy in highway work zone projects . Automation in Construction , 18 (6) : 834 – 843 . doi:10.1016/j.autcon.2009.03.007
   Google Scholar
• Boran , F. E. , Genc , S. , Kurt , M. and Akay , D. 2009 . A multi‐criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method . Expert Systems with Applications , 36 (8) : 11363 – 11368 . doi:10.1016/j.eswa.2009.03.039
   Google Scholar
• Brauers , W. K. M. , Zavadskas , E. K. , Peldschus , F. and Turskis , Z. 2008a . Multi‐objective decision‐making for road design . Transport , 23 (3) : 183 – 193 . doi:10.3846/1648–4142.2008.23.183–193
   Web of Science ®Google Scholar
• Brauers , W. K. M. , Zavadskas , E. K. , Turskis , Z. and Vilutiene , T. 2008b . Multi‐objective contractors’ ranking by applying the MOORA method . Journal of Business Economics and Management , 9 (4) : 245 – 255 . doi:10.3846/1611–1699.2008.9.245–255
   Web of Science ®Google Scholar
• Bregar , A. , Györkös , J. and Jurič , M. B. 2008 . Interactive aggregation/disaggregation dichotomic sorting procedure for group decision analysis based on the threshold model . Informatica , 19 (2) : 161 – 190 .
   Web of Science ®Google Scholar
• Buyukozkan , G. , Feyzioglu , O. and Nebol , E. 2008 . Selection of the strategic alliance partner in logistics value chain . International Journal of Production Economics , 113 (1) : 148 – 158 . doi:10.1016/j.ijpe.2007.01.016
   Google Scholar
• Cakir , O. 2008 . The grey extent analysis . Kybernetes , 37 (7) : 997 – 1015 . doi: 10.1108/03684920810884379
   Web of Science ®Google Scholar
• Cempel , C. 2008 . Decomposition of the symptom observation matrix and grey forecasting in vibration condition monitoring of machines . International Journal of Applied Mathematics and Computer Science , 18 (4) : 569 – 579 . doi:10.2478/v10006–008–0050–7
   Google Scholar
• Chamodrakas , I. , Alexopoulou , N. and Martakos , D. 2009 . Customer evaluation for order acceptance using a novel class of fuzzy methods based on TOPSIS . Expert Systems with Applications , 36 (4) : 7409 – 7415 . doi:10.1016/j.eswa.2008.09.050
   Google Scholar
• Chan , E. H. W. and Au , M. C. Y. 2009 . Factors influencing building contractors’ pricing for time‐related risks in tenders . Journal of Construction Engineering and Management ‐ ASCE: , 135 (3) : 135 – 145 . doi:10.1061/(ASCE)0733–9364(2009)135:3(135)
   Google Scholar
• Chou , S.‐Y. , Chang , Y.‐H. and Shen , C.‐Y. 2008 . A fuzzy simple additive weighting system under group decision‐making for facility location selection with objective/subjective attributes . European Journal of Operational Research , 189(1 ( 16 ) : 132 – 145 .
   Google Scholar
• Darvish , M. , Yasaei , M. and Saeedi , A. 2009 . Application of the graph theory and matrix methods to contractor ranking . International Journal of Project Management , 27 (6) : 610 – 619 . doi: 10.1016/j .ijproman.2008.10.004
   Web of Science ®Google Scholar
• Deng , J. L. 1982 . Control problems of grey system . Systems and Control Letters , 1 (5) : 288 – 294 . doi:10.1016/S0167–6911(82)80025‐X
   Web of Science ®Google Scholar
• Deng , J. L. 1988 . Introduction to grey system theory . The Journal of Grey Theory , 1 (1) : 1 – 24 .
   Google Scholar
• Deng , J. L. 1989 . “ Properties of relational space for grey systems ” . In Essential Topics on Grey System ‐ Theory and Applications , 1 – 13 . China Ocean .
   Google Scholar
• Dikmen , I. , Birgonul , M. T. , Anac , C. , Tah , J. H. M. and Aouad , G. 2008 . Learning from risks: A tool for post‐project risk assessment . Automation in Construction , 18 (1) : 42 – 50 . doi:10.1016/j.autcon.2008.04.008
   Web of Science ®Google Scholar
• Du , J. C. and Shen , D. H. 2005 . Development of pavement permanent deformation prediction model by grey modelling method . Civil Engineering and Environmental Systems , 22 (2) : 109 – 121 . doi:10.1080/10286600500126348
   Web of Science ®Google Scholar
• Ehrgott , M. 2005 . Multicriteria Optimization , Springer .
   Google Scholar
• El‐Adaway , I. H. and Kandil , A. A. 2009 . Contractors’ claims insurance: A risk retention approach . Journal of Construction Engineering and Management ‐ ASCE , 135 (9) : 819 – 825 . doi:10.1061/(ASCE)CO.1943–7862.0000033
   Google Scholar
• Enshassi , A. , Choudhry , R. M. and El‐Ghandour , S. 2009 . Contractors’ perception towards causes of claims in construction projects . International Journal of Construction Management , 9 (1) : 79 – 92 . doi:10.1080/01446199100000008
   Google Scholar
• Figueira , J. , Greco , S. and Ehrgott , M. , eds. 2005 . Multiple Criteria Decision Analysis: State of the Art Surveys , Berlin : Springer .
   Google Scholar
• Ginevičius , R. , Podvezko , V. and Bruzge , Š . 2008a . Evaluating the effect of state aid to business by multicriteria methods . Journal of Business Economics and Management , 9 (3) : 167 – 180 . doi:10.3846/1611–1699.2008.9.167–180
   Web of Science ®Google Scholar
• Ginevicius , R. , Podvezko , V. and Raslanas , S. 2008b . Evaluating the alternative solutions of wall insulation by multicriteria methods . Journal of Civil Engineering and Management , 14 (4) : 217 – 226 . doi: 10.3846/1392–3730.2008.14.20
   Web of Science ®Google Scholar
• Grassi , A. , Gamberini , R. , Mora , C. and Rimini , B. 2009 . A fuzzy multi‐attribute model for risk evaluation in workplaces . Safety Science , 47 (5) : 707 – 716 . doi:10.1016/j.ssci.2008.10.002
   Google Scholar
• Han , S. H. , Kim , D. Y. , Kim , H. and Jang , W.‐S. 2008 . A web‐based integrated system for international project risk management . Automation in Construction , 17 (3) : 342 – 356 . doi:10.1016/j.autcon.2007.05.012
   Web of Science ®Google Scholar
• Hartmann , A. , Ling , F. Y. Y. and Tan , J. S. H. 2009 . Relative importance of subcontractor selection criteria: Evidence from Singapore . Journal of Construction Engineering and Management ‐ASCE: , 135 (9) : 826 – 832 . doi:10.1061/(ASCE)0733–9364(2009)135:9(826)
   Google Scholar
• Huang , J. , Jiang , X. and Tang , Q. 2009 . An e‐commerce performance assessment model: Its development and an initial test on e‐commerce applications in the retail sector of China . Information & Management , 46 (2) : 100 – 108 . doi:10.1016/j.im.2008.12.003
   Web of Science ®Google Scholar
• Huang , Y.‐L. 2009 . Prediction of contractor default probability using structural models of credit risk: An empirical investigation . Construction Management and Economics , 27 (6) : 581 – 596 . doi:10.1080/01446190902960474
   Google Scholar
• Huang , K. Y. and Jane , C. J. 2009 . A hybrid model for stock market forecasting and portfolio selection based on ARX, grey system and RS theories . Expert Systems with Applications , 36 (3) : 5387 – 5392 . doi:10.1016/j.eswa.2008.06.103
   Google Scholar
• Hui , E. C. M. , Lau , O. M. F. and Lo , K. K. 2009 . A fuzzy decision‐making approach for portfolio management with direct real estate investment . International Journal of Strategic Property Management , 13 (2) : 191 – 204 . doi:10.3846/1648–715X.2009.13.191–204
   Web of Science ®Google Scholar
• Hwang , C. L. and Yoon , K. S. 1981 . “ Multiple Attribute Decision Making ” . In Methods and Applications , Berlin, Heidelberg, New York : Springer‐Verlag .
   Google Scholar
• Jakimavicius , M. and Burinskiene , M. 2009 . GIS and multi‐criteria‐based analysis and ranking of transportation zones of Vilnius city . Technological and Economic Development of Economy , 15 (1) : 39 – 48 . doi:10.3846/1392–8619.2009.15.39–48
   Web of Science ®Google Scholar
• Jakimavicius , M. and Burinskiene , M. 2009 . Assessment of Vilnius city development scenarios based on transport system modelling and multicriteria analysis . Journal of Civil Engineering and Management , 15 (4) : 361 – 368 . doi:10.3846/1392–3730.2009.15.361–368
   Web of Science ®Google Scholar
• Jurkštiene , A. , Darškuviene , V. and Dūda , A. 2008 . Management control systems and stakeholders’ interests in Lithuanian multinational companies: cases from the telecommunications industry . Journal of Business Economics and Management , 9 (2) : 97 – 106 . doi:10.3846/1611–1699.2008.9.97–106
   Web of Science ®Google Scholar
• Kalibatas , D. and Turskis , Z. 2008 . Multicriteria evaluation of inner climate by using MOORA method . Information Technology and Control , 37 (1) : 79 – 83 .
   Web of Science ®Google Scholar
• Kapliński , O. 2008 . Usefulness and credibility of scoring methods in construction industry . Journal of Civil Engineering and Management , 14 (1) : 21 – 28 . doi:10.3846/1392–3730.2008.14.21–28
   Web of Science ®Google Scholar
• Karnitis , E. and Kucinskis , M. 2009 . Strategic planning and management of national development processes in Latvia . Journal of Business Economics and Management , 10 (1) : 3 – 13 . doi:10.3846/1611–1699.2009.10.3–13
   Google Scholar
• Kendall , M. G. 1970 . Rank correlation methods , 4th ed. , London Griffin .
   Google Scholar
• Kuo , Y. , Yang , T. and Huang , G.‐W. 2008 . The use of grey relational analysis in solving multiple attribute decision‐making problems . Computers & Industrial Engineering , 55 (1) : 80 – 93 . doi:10.1016/j.cie.2007.12.002
   Web of Science ®Google Scholar
• Lam , K.‐C. , Ning , X. and Gao , H. 2009 . The fuzzy GA‐based multi‐objective financial decision support model for Chinese state‐owned construction firms . Automation in Construction , 18 (4) : 402 – 414 . doi:10.1016/j.autcon.2008.10.004
   Google Scholar
• Leephakpreeda , T. 2008 . Grey prediction on indoor comfort temperature for HVAC systems . Expert Systems with Applications , 34 (4) : 2284 – 2289 . doi:10.1016/j.eswa.2007.03.003
   Google Scholar
• Li , G. D. , Yamaguchi , D. and Nagai , M. 2008 . A grey‐based rough decision‐making approach to supplier selection . International Journal of Advanced Manufacturing Technology , 36 (9–10) : 1032 – 1040 . doi: 10.1007/s001 70–006–0910‐y
   Google Scholar
• Li , Q.‐X. and Liu , S.‐F. 2009a . The grey input‐occupancy‐output analysis . Kybernetes: The International Journal of Systems & Cybernetics , 38 (3–4) : 306 – 313 . 8
   Google Scholar
• Li , Q.‐X. and Liu , S.‐F. 2009b . Some results about grey mathematics . Kybernetes: The International Journal of Systems & Cybernetics , 38 (3–4) : 297 – 305 . 9
   Google Scholar
• Li , Z. , Wang , W. and Chen , M.‐y. 2009 . Improved grey‐Markov chain algorithm for forecasting . Kybernetes , 38 (3/4) : 329 – 338 . doi:10.1108/03684920910944010
   Google Scholar
• Liaudanskiene , R. , Ustinovicius , L. and Bogdanovicius , A. 2009 . Evaluation of construction process safety solutions using the TOPSIS method . Inzinerine Ekonomika ‐ Engineering Economics , : 32 – 40 .
   Web of Science ®Google Scholar
• Lin , Y.‐H. and Lee , P.‐C. 2007 . Novel high‐precision grey forecasting model . Automation in Construction , 16 (6) : 771 – 777 . doi:10.1016/j.autcon.2007.02.004
   Web of Science ®Google Scholar
• Lin , Y. , Chen , M.‐Y. and Liu , S. 2004 . Theory of grey systems: capturing uncertainties of grey information . Kybernetes , 33 (2) : 196 – 218 . doi:10.1108/03684920410514139
   Google Scholar
• Lin , Y.‐H. , Lee , P.‐C. , Chang , T.‐P. and Ting , H.‐I. 2008 . Multi‐attribute group decision making model under the condition of uncertain information . Automation in Construction , 17 (6) : 792 – 797 . doi:10.1016/j.autcon.2008.02.011
   Web of Science ®Google Scholar
• Liu , S. and Lin , Y. 2006 . On measures of information content of grey numbers . Kybernetes , 35 (6) : 899 – 904 . doi: 10.1108/03684920610662692
   Web of Science ®Google Scholar
• Liu , S. F. , Forrest , J. and Vallee , R. 2009 . Emergence and development of grey systems theory . Kybernetes , 38 (7–8) : 1246 – 1256 . doi: 10.1108/03684920910976943
   Google Scholar
• MacCrimon , K. R. 1968 . Decision making among multiple attribute alternatives: A survey and consolidated approach , Rand Memorandum . RM‐4823‐ARPA
   Google Scholar
• Mitkus , S. and Šostak , O. R. 2008 . Modelling the process for defence of third party rights infringed while implementing construction investment projects . Technological and Economic Development of Economy , 14 (2) : 208 – 223 . doi:10.3846/1392–8619.2008.14.208–223
   Web of Science ®Google Scholar
• Mitkus , S. and Trinkuniene , E. 2008 . Reasoned decisions in construction contracts evaluation . Technological and Economic Development of Economy , 14 (3) : 402 – 416 . doi:10.3846/1392–8619.2008.14.402–416
   Web of Science ®Google Scholar
• Opricovic , S. 1998 . Multicriteria optimization of civil engineering systems , Belgrade : Faculty of Civil Engineering . (in Serbian)
   Google Scholar
• Opricovic , S. and Tzeng , G.‐H. 2004 . Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS . European Journal of Operational Research , 156 : 445 – 455 . doi:10.1016/S0377–2217(03)00020–1
   Web of Science ®Google Scholar
• Padhi , S. S. and Mohapatra , P. K. J. 2009 . Contractor selection in government procurement auctions: A case study . European Journal of Industrial Engineering , 3 (2) : 170 – 186 . doi: 10.1504/EJIE.2009.023604
   Google Scholar
• Plebankiewicz , E. 2009 . Contractor prequalification model using fuzzy sets . Journal of Civil Engineering and Management , 15 (4) : 377 – 385 . doi:10.3846/1392–3730.2009.15.377–385
   Web of Science ®Google Scholar
• Reichelt , B. , Melnikas , B. and Vilutiene , T. 2008 . The model for selection of a maintenance strategy for municipal buildings . International Journal of Environment and Pollution , 35 (2–4) : 219 – 236 . doi:10.1504/IJEP.2008.021357
   Google Scholar
• Schieg , M. 2008 . Strategies for avoiding asymmetric information in construction project management . Journal of Business Economics and Management , 9 (1) : 47 – 51 . doi:10.3846/1611–1699.2008.9.47–51
   Web of Science ®Google Scholar
• Schieg , M. 2009 . Model for integrated project management . Journal of Business Economics and Management , 10 (2) : 149 – 160 . doi:10.3846/1611–1699.2009.10.149–160
   Web of Science ®Google Scholar
• Shevchenko , G. , Ustinovichius , L. and Andruškevičius , A. 2008 . Multi‐attribute analysis of investments risk alternatives in construction . Technological and Economic Development of Economy , 14 (3) : 428 – 443 . doi:10.3846/1392–8619.2008.14.428–443
   Web of Science ®Google Scholar
• Šiškina , A. , Juodis , A. and Apanavičiene , R. 2009 . Evaluation of the competitiveness of construction company overhead costs . Journal of Civil Engineering and Management , 15 (2) : 215 – 224 . doi: 10.3846/1392–3730.2009.15.215–224
   Google Scholar
• Smyth , H. and Fitch , T. 2009 . Application of relationship marketing and management: A large contractor case study . Construction Management and Economics , 27 (4) : 399 – 410 . doi:10.1080/01446190902777365
   Google Scholar
• Stasiškiene , Ž. and Šliogeriene , J. 2009 . Sustainability assessment for corporate management of energy production and supply companies for Lithuania . International Journal of Strategic Property Management , 13 (1) : 71 – 81 . doi:10.3846/1648–715X.2009.13.71–81
   Web of Science ®Google Scholar
• Straub , A. 2009 . Cost savings from performance‐based maintenance contracting . International Journal of Strategic Property Management , 13 (3) : 205 – 217 . doi:10.3846/1648–715X.2009.13.205–217
   Web of Science ®Google Scholar
• Suhobokov , A. 2007 . Application of Monte Carlo simulation methods in risk management . Journal of Business Economics and Management , 8 (3) : 165 – 168 .
   Web of Science ®Google Scholar
• Tieva , A. and Junnonen , J.‐M. 2009 . Proactive contracting in Finnish PPP projects . International Journal of Strategic Property Management , 13 (3) : 219 – 228 . doi:10.3846/1648–715X.2009.13.219–228
   Web of Science ®Google Scholar
• Turskis , Z. 2008 . Multi‐attribute contractors ranking method by applying ordering of feasible alternatives of solutions in terms of preferability technique . Technological and Economic Development of Economy , 14 (2) : 224 – 239 . doi:10.3846/1392–8619.2008.14.224–239
   Web of Science ®Google Scholar
• Turskis , Z. , Zavadskas , E. K. and Peldschus , F. 2009 . Multi‐criteria optimization system for decision making in construction design and management . Inzinerine Ekonomika ‐ Engineering Economics , 1 (61) : 7 – 17 .
   Google Scholar
• Tvaronavičiene , M. and Grybaite , V. 2007 . Impact of FDI on Lithuanian economy: insight into development of main economic activities . Journal of Business Economics and Management , 8 (4) : 285 – 290 .
   Web of Science ®Google Scholar
• Ulubeyli , S. and Kazaz , A. 2009 . A multiple criteria decision‐making approach to the selection of concrete pumps . Journal of Civil Engineering and Management , 15 (4) : 369 – 376 . doi: 10.3846/1392–3730.2009.15.369–376
   Web of Science ®Google Scholar
• Urbanavičiene , V. , Kaklauskas , A. and Zavadskas , E. K. 2009 . The conceptual model of construction and real estate negotiation . International Journal of Strategic Property Management , 13 (1) : 53 – 70 . doi:10.3846/1648–715X.2009.13.53–70
   Web of Science ®Google Scholar
• Walraven , A. and de Vries , B. 2009 . From demand‐driven contractor selection towards value‐driven contractor selection . Construction Management and Economics , 27 (6) : 597 – 604 . doi:10.1080/01446190902933356
   Google Scholar
• Wending , H. , Ben , H. and Changzhi , Y. 2002 . Building thermal process analysis with grey system method . Building and Environment , 37 : 599 – 605 . doi:10.1016/S0360–1323(01)00062–2
   Web of Science ®Google Scholar
• Yan , J. Y. and Yang , J. G. 2009 . Application of synthetic grey correlation theory on thermal point optimization for machine tool thermal error compensation . The International Journal of Advanced Manufacturing Technology , 43 (11–12) : 1124 – 1132 . doi:10.1007/s00170–008–1791‐z
   Google Scholar
• Yang , J. , Shen , G. Q. , Ho , M. , Drew , D. S. and Chan , A. P. C. 2009a . Exploring critical success factors for stakeholder management in construction projects . Journal of Civil Engineering and Management , 15 (4) : 337 – 348 . doi:10.3846/1392–3730.2009.15.337–348
   Web of Science ®Google Scholar
• Yang , Z. L. , Bonsall , S. and Wang , J. 2009b . Use of hybrid multiple uncertain attribute decision making techniques in safety management . Expert Systems with Applications , 36 (2) : 1569 – 1586 . part 1
   Google Scholar
• Zanakis , S. H. , Solomon , A. , Wishart , N. and Dublish , S. 1998 . Multi‐attribute decision making: A simulation comparison of select methods . European Journal of Operational Research , 107 (3) : 507 – 529 . doi:10.1016/S0377–2217(97)00147–1
   Web of Science ®Google Scholar
• Zavadskas , E. K. and Kaklauskas , A. 2007 . Mehrzielselektion für Entscheidungen im Bauwesen , Fraunhofer IRB Verlag . (in German)
   Google Scholar
• Zavadskas , E. K. and Turskis , Z. 2008 . A new logarithmic normalization method in game theory . Informatica , 19 (2) : 303 – 314 .
   Web of Science ®Google Scholar
• Zavadskas , E. K. and Vaidogas , E. R. 2008 . Bayesian reasoning in managerial decisions on the choice of equipment for the prevention of industrial accidents . Inzinerine Ekonomika ‐ Engineering Economics , 5 (60) : 32 – 40 .
   Google Scholar
• Zavadskas , E. K. , Kaklauskas , A. , Turskis , Z. and Tamošaitiene , J. 2008a . Selection of the effective dwelling house walls by applying attributes values determined at intervals . Journal of Civil Engineering and Management , 14 (2) : 85 – 93 . doi:10.3846/1392–3730.2008.14.3
   Web of Science ®Google Scholar
• Zavadskas , E. K. , Liias , R. and Turskis , Z. 2008b . Multi‐attribute decision‐making methods for assessment of quality in bridges and road construction: State‐of‐the‐art surveys . The Baltic Journal of Road and Bridge Engineering , 3 (3) : 152 – 160 . doi:10.3846/1822–427X.2008.3.152–160
   Web of Science ®Google Scholar
• Zavadskas , E. K. , Raslanas , S. and Kaklauskas , A. 2008c . The selection of effective retrofit scenarios for panel houses in urban neighbourhoods based on expected energy savings and increase in market value: The Vilnius case . Energy and Buildings , 40 (4) : 573 – 587 . doi:10.1016/j.enbuild.2007.04.015
   Web of Science ®Google Scholar
• Zavadskas , E. K. , Turskis , Z. and Tamošaitiene , J. 2008d . Contractor selection for construction in a competitive environment . Journal of Business Economics and Management , 9 (3) : 181 – 187 . doi:10.3846/1611–1699.2008.9.181–187
   Web of Science ®Google Scholar
• Zavadskas , E. K. , Turskis , Z. , Tamošaitiene , J. and Marina , V. 2008e . Multicriteria selection of project managers by applying grey criteria . Technological and Economic Development of Economy , 14 (4) : 462 – 477 . doi:10.3846/1392–8619.2008.14.462–477
   Web of Science ®Google Scholar
• Zavadskas , E. K. , Kaklauskas , A. , Turskis , Z and Tamosaitiene , J. 2009 . Multi‐attribute decision‐making model by applying grey numbers . Informatica , 20 (2) : 305 – 320 .
   Web of Science ®Google Scholar
• Zeydan , M. and Colpan , C. 2009 . A new decision support system for performance measurement using combined fuzzy TOPSIS/DEA approach . International Journal of Production Research , 47 (15) : 4327 – 4349 . doi:1 0.1080/00207540802662870
   Google Scholar