Multi-criteria semantic dominance: A linguistic decision aiding technique based on incomplete preference information

A linguistic decision aiding technique for multi-criteria decision is presented. We define a relation between alternatives as multi-criteria semantic dominance (MCSD). It adopts the similar ideal of the stochastic dominance by utilizing the partial information of the decision maker’s preference, which is only ordinal or partially cardinal. The MCSD rules based on three typical types of semanteme functions are introduced and proven. By using these rules, all the alternatives under consideration are divided into two mutually exclusive sets called efficient set and inefficient set. The decision maker who has such a semanteme function will never choose the alternative from the corresponding inefficient set as the optimal one. In such a way, when we analyze the linguistic decision information, the inherent fuzziness of preference can be handled and several controversial operations of the linguistic terms can be avoided. An example is also provided to illustrate the procedure of the proposed method.

[1]  Saeid Abbasbandy,et al.  Ranking of fuzzy numbers by sign distance , 2006, Inf. Sci..

[2]  Matthias Ehrgott,et al.  Multiple criteria decision analysis: state of the art surveys , 2005 .

[3]  Chen-Tung Chen,et al.  Extensions of the TOPSIS for group decision-making under fuzzy environment , 2000, Fuzzy Sets Syst..

[4]  Diyar Akay,et al.  A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method , 2009, Expert Syst. Appl..

[5]  Ting-Yu Chen,et al.  The extended QUALIFLEX method for multiple criteria decision analysis based on interval type-2 fuzzy sets and applications to medical decision making , 2013, Eur. J. Oper. Res..

[6]  Zeshui Xu,et al.  Linguistic Aggregation Operators: An Overview , 2008, Fuzzy Sets and Their Extensions: Representation, Aggregation and Models.

[7]  Shian-Jong Chuu,et al.  Interactive group decision-making using a fuzzy linguistic approach for evaluating the flexibility in a supply chain , 2011, Eur. J. Oper. Res..

[8]  Deng-Feng Li,et al.  Linear programming method for multiattribute group decision making using IF sets , 2010, Inf. Sci..

[9]  Ralph E. Steuer,et al.  Multiple Criteria Decision Making, Multiattribute Utility Theory: The Next Ten Years , 1992 .

[10]  Gloria Bordogna,et al.  A linguistic modeling of consensus in group decision making based on OWA operators , 1997, IEEE Trans. Syst. Man Cybern. Part A.

[11]  Emmanuel Haven The financial relevance of fuzzy stochastic dominance: a brief note , 2005, Fuzzy Sets Syst..

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

[13]  Robert Ivor John,et al.  Alpha-Level Aggregation: A Practical Approach to Type-1 OWA Operation for Aggregating Uncertain Information with Applications to Breast Cancer Treatments , 2011, IEEE Transactions on Knowledge and Data Engineering.

[14]  Francisco Herrera,et al.  Choice processes for non-homogeneous group decision making in linguistic setting , 1998, Fuzzy Sets Syst..

[15]  Haris Ch. Doukas,et al.  Computing with words to assess the sustainability of renewable energy options , 2010, Expert Syst. Appl..

[16]  Dimitris Askounis,et al.  A new TOPSIS-based multi-criteria approach to personnel selection , 2010, Expert Syst. Appl..

[17]  José L. Verdegay,et al.  On aggregation operations of linguistic labels , 1993, Int. J. Intell. Syst..

[18]  H. Levy Stochastic Dominance: Investment Decision Making under Uncertainty , 2010 .

[19]  H. Levy Stochastic dominance and expected utility: survey and analysis , 1992 .

[20]  Haris Ch. Doukas,et al.  Modelling of linguistic variables in multicriteria energy policy support , 2013, Eur. J. Oper. Res..

[21]  Lotfi A. Zadeh,et al.  Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic , 1997, Fuzzy Sets Syst..

[22]  Didier Dubois,et al.  The role of fuzzy sets in decision sciences: Old techniques and new directions , 2011, Fuzzy Sets Syst..

[23]  Ting-Yu Chen,et al.  Determining objective weights with intuitionistic fuzzy entropy measures: A comparative analysis , 2010, Inf. Sci..

[24]  Ling-Zhong Lin,et al.  Fuzzy linguistic decision to provide alternatives to market mechanism strategies , 2010, Expert Syst. Appl..

[25]  Tien-Chin Wang,et al.  Multi-criteria decision making with fuzzy linguistic preference relations , 2011 .

[26]  Petr Ekel,et al.  A flexible consensus scheme for multicriteria group decision making under linguistic assessments , 2010, Inf. Sci..

[27]  Yueh-Hsiang Chen,et al.  Applying fuzzy linguistic preference relations to the improvement of consistency of fuzzy AHP , 2008, Inf. Sci..

[28]  Wen-Pai Wang,et al.  A fuzzy linguistic computing approach to supplier evaluation , 2010 .

[29]  Peter C. Fishburn,et al.  Utility theory for decision making , 1970 .

[30]  Francisco Herrera,et al.  A fusion approach for managing multi-granularity linguistic term sets in decision making , 2000, Fuzzy Sets Syst..

[31]  Jafar Rezaei,et al.  Production , Manufacturing and Logistics Multi-criteria supplier segmentation using a fuzzy preference relations based AHP , 2012 .

[32]  Liu Han-bo Multi-criteria decision-making method based on aggregation operators for intuitionistic linguistic fuzzy numbers , 2010 .

[33]  Jian-qiang Wang,et al.  Multi-criteria group decision making method based on intuitionistic linguistic aggregation operators , 2014, J. Intell. Fuzzy Syst..

[34]  Francisco Herrera,et al.  A 2-tuple fuzzy linguistic representation model for computing with words , 2000, IEEE Trans. Fuzzy Syst..

[35]  T. Stewart A CRITICAL SURVEY ON THE STATUS OF MULTIPLE CRITERIA DECISION MAKING THEORY AND PRACTICE , 1992 .

[36]  Yao Zhang,et al.  A method based on stochastic dominance degrees for stochastic multiple criteria decision making , 2010, Comput. Ind. Eng..

[37]  Wen-Pai Wang,et al.  Evaluating new product development performance by fuzzy linguistic computing , 2009, Expert Syst. Appl..

[38]  Francisco Herrera,et al.  Fuzzy Sets and Their Extensions: Representation, Aggregation and Models , 2008 .

[39]  Jian-qiang Wang,et al.  An outranking method for multi-criteria decision making with duplex linguistic information , 2012, Fuzzy Sets Syst..

[40]  Zeshui Xu,et al.  A method for multiple attribute decision making with incomplete weight information in linguistic setting , 2007, Knowl. Based Syst..

[41]  Zvi Wiener,et al.  Stochastic Dominance and Prospect Dominance with Subjective Weighting Functions , 1998 .

[42]  Jian-qiang Wang,et al.  Vague linguistic matrix game approach for multi-criteria decision making with uncertain weights , 2013, J. Intell. Fuzzy Syst..

[43]  P. Wakker Additive Representations of Preferences: A New Foundation of Decision Analysis , 1988 .

[44]  Zeshui Xu,et al.  Multi-person multi-attribute decision making models under intuitionistic fuzzy environment , 2007, Fuzzy Optim. Decis. Mak..

[45]  Denis Bouyssou,et al.  Conjoint measurement tools for MCDM, A brief introduction , 2004 .