메뉴 건너뛰기




Volumn 37, Issue 10-11, 2013, Pages 6670-6682

A two-phase algorithm for consensus building in AHP-group decision making

Author keywords

AHP; Building consensus; Group decision making; Multidimensional clustering

Indexed keywords

AGGREGATION SCHEMES; AHP; CONSENSUS BUILDINGS; GROUP DECISION MAKING; ITERATIVE PROCEDURES; MULTI-DIMENSIONAL VECTORS; MULTIDIMENSIONAL CLUSTERING; TWO PHASE ALGORITHM;

EID: 84878188925     PISSN: 0307904X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apm.2013.01.028     Document Type: Article
Times cited : (60)

References (34)
  • 2
    • 84856717929 scopus 로고    scopus 로고
    • Positional and confidence voting-based consensus functions for fuzzy cluster ensembles
    • Sevillano X., Alías F., Socoró J.C. Positional and confidence voting-based consensus functions for fuzzy cluster ensembles. Fuzzy Sets Syst. 2012, 193:1-32.
    • (2012) Fuzzy Sets Syst. , vol.193 , pp. 1-32
    • Sevillano, X.1    Alías, F.2    Socoró, J.C.3
  • 5
    • 77955716711 scopus 로고    scopus 로고
    • Consensus models for AHP group decision making under row geometric mean prioritization method
    • Dong Y., Zhang G., Hong W.C., Xu Y. Consensus models for AHP group decision making under row geometric mean prioritization method. Decis. Support Syst. 2010, 49:281-289.
    • (2010) Decis. Support Syst. , vol.49 , pp. 281-289
    • Dong, Y.1    Zhang, G.2    Hong, W.C.3    Xu, Y.4
  • 6
    • 0001490143 scopus 로고
    • A note on the analysis of subjective judgement matrices
    • Crawford G., Williams C. A note on the analysis of subjective judgement matrices. J. Math. Psychol. 1985, 29:387-405.
    • (1985) J. Math. Psychol. , vol.29 , pp. 387-405
    • Crawford, G.1    Williams, C.2
  • 8
    • 85010161503 scopus 로고    scopus 로고
    • Consensual decision making among epistemic peers
    • Hartmann S., Martini C., Sprenger J. Consensual decision making among epistemic peers. Episteme 2009, 6:110-129.
    • (2009) Episteme , vol.6 , pp. 110-129
    • Hartmann, S.1    Martini, C.2    Sprenger, J.3
  • 9
    • 34047256430 scopus 로고    scopus 로고
    • A fuzzy clustering methodology for linguistic opinions in group decision making
    • Chakraborty C., Chakraborty D. A fuzzy clustering methodology for linguistic opinions in group decision making. Appl. Soft Comput. 2007, 7:858-869.
    • (2007) Appl. Soft Comput. , vol.7 , pp. 858-869
    • Chakraborty, C.1    Chakraborty, D.2
  • 10
    • 80051798194 scopus 로고    scopus 로고
    • Some clarifications on the DEA clustering approach
    • Amin G.R., Emrouznejad A., Rezaei S. Some clarifications on the DEA clustering approach. Eur. J. Oper. Res. 2011, 215:498-501.
    • (2011) Eur. J. Oper. Res. , vol.215 , pp. 498-501
    • Amin, G.R.1    Emrouznejad, A.2    Rezaei, S.3
  • 11
    • 80054913362 scopus 로고    scopus 로고
    • Customer grouping for better resources allocation using GA based clustering technique
    • Ho G.T.S., Ip W., Lee H., Mou W.L. Customer grouping for better resources allocation using GA based clustering technique. Expert Syst. Appl. 2012, 39(2):1979-1987.
    • (2012) Expert Syst. Appl. , vol.39 , Issue.2 , pp. 1979-1987
    • Ho, G.T.S.1    Ip, W.2    Lee, H.3    Mou, W.L.4
  • 12
    • 81855165031 scopus 로고    scopus 로고
    • Applying variable precision rough set model for clustering student suffering study's anxiety
    • Yanto I.T.R., Vitasari P., Herawan T., Deris M.M. Applying variable precision rough set model for clustering student suffering study's anxiety. Expert Syst. Appl. 2012, 39(1):452-459.
    • (2012) Expert Syst. Appl. , vol.39 , Issue.1 , pp. 452-459
    • Yanto, I.T.R.1    Vitasari, P.2    Herawan, T.3    Deris, M.M.4
  • 13
    • 79952443907 scopus 로고    scopus 로고
    • An agent-oriented decision support system combining fuzzy clustering and the AHP
    • López-Ortega O., Rosales M.A. An agent-oriented decision support system combining fuzzy clustering and the AHP. Expert Syst. Appl. 2011, 38(7):8275-8284.
    • (2011) Expert Syst. Appl. , vol.38 , Issue.7 , pp. 8275-8284
    • López-Ortega, O.1    Rosales, M.A.2
  • 15
    • 0037954502 scopus 로고    scopus 로고
    • Visualizing group decisions in the analytic hierarchy process
    • Condon E., Golden B., Wasil E. Visualizing group decisions in the analytic hierarchy process. Comput. Oper. Res. 2003, 30:1435-1445.
    • (2003) Comput. Oper. Res. , vol.30 , pp. 1435-1445
    • Condon, E.1    Golden, B.2    Wasil, E.3
  • 16
    • 17844395462 scopus 로고    scopus 로고
    • Visualization method for customer targeting using customer map
    • Woo E.J.Y., Bae S.M., Park S.C. Visualization method for customer targeting using customer map. Expert Syst. Appl. 2005, 28(4):763-772.
    • (2005) Expert Syst. Appl. , vol.28 , Issue.4 , pp. 763-772
    • Woo, E.J.Y.1    Bae, S.M.2    Park, S.C.3
  • 17
    • 9744238046 scopus 로고    scopus 로고
    • Combining different prioritization methods in AHP synthesis
    • Srdjevic B. Combining different prioritization methods in AHP synthesis. Comput. Oper. Res. 2005, 25:1897-1919.
    • (2005) Comput. Oper. Res. , vol.25 , pp. 1897-1919
    • Srdjevic, B.1
  • 19
    • 25144439604 scopus 로고    scopus 로고
    • Introduction to Data Mining
    • Addison-Wesley
    • P.N. Tan, M. Steinbach, V. Kumar, Introduction to Data Mining, Addison-Wesley, 2005.
    • (2005)
    • Tan, P.N.1    Steinbach, M.2    Kumar, V.3
  • 20
    • 84953806973 scopus 로고    scopus 로고
    • Scaling clustering algorithms to large databases
    • AAAI Press, Menlo Park, R. Agrawal, P. Stolorz, G. Piatetsky-Shapiro (Eds.)
    • Bradley P.S., Fayyad U., Reinna C. Scaling clustering algorithms to large databases. Knowledge Discovery and Data Mining (KDD98) 1998, 9-15. AAAI Press, Menlo Park. R. Agrawal, P. Stolorz, G. Piatetsky-Shapiro (Eds.).
    • (1998) Knowledge Discovery and Data Mining (KDD98) , pp. 9-15
    • Bradley, P.S.1    Fayyad, U.2    Reinna, C.3
  • 21
    • 35748946635 scopus 로고    scopus 로고
    • Clustering spatial networks for aggregate query processing: a hypergraph approach
    • Demir E., Aykanat C., Cambazoglu B.B. Clustering spatial networks for aggregate query processing: a hypergraph approach. Inf. Syst. 2008, 33(1):1-17.
    • (2008) Inf. Syst. , vol.33 , Issue.1 , pp. 1-17
    • Demir, E.1    Aykanat, C.2    Cambazoglu, B.B.3
  • 22
    • 84857994819 scopus 로고    scopus 로고
    • A reductive approach to hypergraph clustering: an application to image segmentation
    • Ducournau A., Bretto A., Rital S., Laget B. A reductive approach to hypergraph clustering: an application to image segmentation. Pattern Recogn. 2012, 45(7):2788-2803.
    • (2012) Pattern Recogn. , vol.45 , Issue.7 , pp. 2788-2803
    • Ducournau, A.1    Bretto, A.2    Rital, S.3    Laget, B.4
  • 23
    • 34047249266 scopus 로고    scopus 로고
    • NOCEA: a rule-based evolutionary algorithm for efficient and effective clustering of massive high-dimensional databases
    • Sarafis I.A., Trinder P.W., Zalzala A.M.S. NOCEA: a rule-based evolutionary algorithm for efficient and effective clustering of massive high-dimensional databases. Appl. Soft Comput. 2007, 7(3):668-710.
    • (2007) Appl. Soft Comput. , vol.7 , Issue.3 , pp. 668-710
    • Sarafis, I.A.1    Trinder, P.W.2    Zalzala, A.M.S.3
  • 24
    • 79960460636 scopus 로고    scopus 로고
    • Enhancing grid-density based clustering for high dimensional data
    • Zhao Y., Cao J., Zhang C., Zhang S. Enhancing grid-density based clustering for high dimensional data. J. Syst. Softw. 2011, 84(9):1524-1539.
    • (2011) J. Syst. Softw. , vol.84 , Issue.9 , pp. 1524-1539
    • Zhao, Y.1    Cao, J.2    Zhang, C.3    Zhang, S.4
  • 25
    • 80051665910 scopus 로고    scopus 로고
    • Adaptive image enhancement based on clustering of wavelet coefficients for infrared sea surveillance systems
    • Karali{dotless} A.O., Okman O.E., Aytaç T. Adaptive image enhancement based on clustering of wavelet coefficients for infrared sea surveillance systems. Infrared Phys. Technol. 2011, 54(5):382-394.
    • (2011) Infrared Phys. Technol. , vol.54 , Issue.5 , pp. 382-394
    • Karali, A.O.1    Okman, O.E.2    Aytaç, T.3
  • 27
    • 84887006810 scopus 로고
    • A non-linear mapping for data structure analysis
    • C-18
    • Sammon J.W. A non-linear mapping for data structure analysis. IEEE Trans. Comput. 1969, C-18(5):401-409.
    • (1969) IEEE Trans. Comput. , Issue.5 , pp. 401-409
    • Sammon, J.W.1
  • 29
    • 33646778512 scopus 로고    scopus 로고
    • A formal model for consensus and negotiation in environmental management
    • Regan H.M., Colyvan M., Markovchick-Nicholls L. A formal model for consensus and negotiation in environmental management. J. Environ. Manage. 2006, 80(2):167-176.
    • (2006) J. Environ. Manage. , vol.80 , Issue.2 , pp. 167-176
    • Regan, H.M.1    Colyvan, M.2    Markovchick-Nicholls, L.3
  • 30
    • 1042303116 scopus 로고    scopus 로고
    • Receiving other people's advice. Influence and benefit
    • Yaniv I. Receiving other people's advice. Influence and benefit. Organ. Behav. Hum. Decis. Process. 2004, 93(1):1-13.
    • (2004) Organ. Behav. Hum. Decis. Process. , vol.93 , Issue.1 , pp. 1-13
    • Yaniv, I.1
  • 32
    • 0043061727 scopus 로고
    • Equity and the determination of accountability for greenhouse-gas reduction
    • Ridgley M.A. Equity and the determination of accountability for greenhouse-gas reduction. Cent. Eur. J. Oper. Res. Econ. 1993, 3(3):223-242.
    • (1993) Cent. Eur. J. Oper. Res. Econ. , vol.3 , Issue.3 , pp. 223-242
    • Ridgley, M.A.1
  • 33
    • 84878207716 scopus 로고    scopus 로고
    • Miscellaneous MATLAB Software, <>, Accessed May
    • Miscellaneous MATLAB Software, <>, Accessed May 2011. http://www.theoval.cmp.uea.ac.uk/matlab/default.html.
    • (2011)
  • 34
    • 0032124178 scopus 로고    scopus 로고
    • Aggregating individual judgments and priorities with the analytic hierarchy process
    • Forman E., Peniwati K. Aggregating individual judgments and priorities with the analytic hierarchy process. Eur. J. Oper. Res. 1998, 108:165-169.
    • (1998) Eur. J. Oper. Res. , vol.108 , pp. 165-169
    • Forman, E.1    Peniwati, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.