Decider: A fuzzy multi-criteria group decision support system

Multi-criteria group decision making (MCGDM) aims to support preference-based decision over the available alternatives that are characterized by multiple criteria in a group. To increase the level of overall satisfaction for the final decision across the group and deal with uncertainty in decision process, a fuzzy MCGDM process (FMP) model is established in this study. This FMP model can also aggregate both subjective and objective information under multi-level hierarchies of criteria and evaluators. Based on the FMP model, a fuzzy MCGDM decision support system (called Decider) is developed, which can handle information expressed in linguistic terms, boolean values, as well as numeric values to assess and rank a set of alternatives within a group of decision makers. Real applications indicate that the presented FMP model and the Decider software are able to effectively handle fuzziness in both subjective and objective information and support group decision-making under multi-level criteria with a higher level of satisfaction by decision makers.

[1]  George J. Klir,et al.  Fuzzy sets and fuzzy logic - theory and applications , 1995 .

[2]  Charles H. Smith,et al.  Multiple Criteria Decision Support Software , 2005 .

[3]  Jana Šelih,et al.  Multiple-Criteria Decision Support System in Highway Infrastructure Management , 2008 .

[4]  Giuseppe Munda,et al.  A conflict analysis approach for illuminating distributional issues in sustainability policy , 2009, Eur. J. Oper. Res..

[5]  M. Grabisch,et al.  Fuzzy Measures and Integrals in MCDA , 2004 .

[6]  Jean-Luc Marichal,et al.  An axiomatic approach of the discrete Sugeno integral as a tool to aggregate interacting criteria in a qualitative framework , 2001, IEEE Trans. Fuzzy Syst..

[7]  Michel Grabisch,et al.  Fuzzy Measures and Integrals , 1995 .

[8]  Ronald R. Yager,et al.  On ordered weighted averaging aggregation operators in multicriteria decisionmaking , 1988, IEEE Trans. Syst. Man Cybern..

[9]  Lotfi A. Zadeh,et al.  From Computing with Numbers to Computing with Words - from Manipulation of Measurements to Manipulation of Perceptions , 2005, Logic, Thought and Action.

[10]  R. Yager.  Families of OWA operators , 1993 .

[11]  Da Ruan,et al.  Linguistic assessment approach for managing nuclear safeguards indicator information , 2003 .

[12]  Francisco Herrera,et al.  Incorporating filtering techniques in a fuzzy linguistic multi-agent model for information gathering on the web , 2004, Fuzzy Sets Syst..

[13]  F. Herrera,et al.  Aggregation of Linguistic Information Based on a Symbolic Approach , 1999 .

[14]  Francisco Herrera,et al.  A linguistic decision model for promotion mix management solved with genetic algorithms , 2002, Fuzzy Sets Syst..

[15]  Lotfi A. Zadeh,et al.  The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[16]  Raymond Koon-Ying Li,et al.  A framework for distributed group multi-criteria decision support systems , 2003, WWW 2003.

[17]  Radko Mesiar,et al.  A Review of Aggregation Functions , 2008, Fuzzy Sets and Their Extensions: Representation, Aggregation and Models.

[18]  Evangelos Triantaphyllou,et al.  Multi-criteria Decision Making Methods: A Comparative Study , 2000 .

[19]  Xianyi Zeng,et al.  A Fuzzy Decision Support System for Garment New Product Development , 2008, Australasian Conference on Artificial Intelligence.

[20]  Marco Laumanns,et al.  Multiple Criteria Decision Support by Evolutionary Computation , 2001 .

[21]  Francisco Herrera,et al.  Multiperson decision-making based on multiplicative preference relations , 2001, Eur. J. Oper. Res..

[22]  Prashanthi Nirmala Kodikara,et al.  Multi-objective optimal operation of urban water supply systems , 2008 .

[23]  Jean-Luc Marichal,et al.  An axiomatic approach of the discrete Choquet integral as a tool to aggregate interacting criteria , 2000, IEEE Trans. Fuzzy Syst..

[24]  R. Mesiar,et al.  Aggregation operators: new trends and applications , 2002 .

[25]  Amihai Motro,et al.  Fusionplex: resolution of data inconsistencies in the integration of heterogeneous information sources , 2006, Inf. Fusion.