A method based on induced aggregation operators and distance measures to multiple attribute decision making under 2-tuple linguistic environment

Abstract We develop a new multiple attribute decision making approach for dealing with 2-tuple linguistic information, called the 2-tuple linguistic induced generalized ordered weighted averaging distance (2LIGOWAD) operator. This generalization includes a wide range of 2-tuple linguistic aggregation distance operators such as the 2-tuple linguistic induced ordered weighted averaging distance (2LIOWAD) and the 2-tuple linguistic induced Euclidean ordered weighted averaging distance (2LIEOWAD) operators. We study some of its main properties, and we further generalize the 2LIGOWAD operator by using the Quasi-arithmetic means. Finally we present an application of the developed operator to a group decision making problem about selection of strategies.

[1]  J. Merigó,et al.  The Induced Generalized OWA Operator , 2009, EUSFLAT Conf..

[2]  José M. Merigó,et al.  Induced aggregation operators in the Euclidean distance and its application in financial decision making , 2011, Expert Syst. Appl..

[3]  Gleb Beliakov,et al.  Aggregation Functions: A Guide for Practitioners , 2007, Studies in Fuzziness and Soft Computing.

[4]  Xinwang Liu,et al.  A general model of parameterized OWA aggregation with given orness level , 2008, Int. J. Approx. Reason..

[5]  José M. Merigó,et al.  New decision-making techniques and their application in the selection of financial products , 2010, Inf. Sci..

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

[7]  Liu Pei-de Short communication: A novel method for hybrid multiple attribute decision making , 2009 .

[8]  Gui-Wu Wei,et al.  A method for multiple attribute group decision making based on the ET-WG and ET-OWG operators with 2-tuple linguistic information , 2010, Expert Syst. Appl..

[9]  Ching-Hsue Cheng,et al.  OWA rough set model for forecasting the revenues growth rate of the electronic industry , 2010, Expert Syst. Appl..

[10]  Gui-Wu Wei,et al.  Extension of TOPSIS method for 2-tuple linguistic multiple attribute group decision making with incomplete weight information , 2010, Knowledge and Information Systems.

[11]  José M. Merigó,et al.  Decision-making in sport management based on the OWA operator , 2011, Expert Syst. Appl..

[12]  Chunqiao Tan,et al.  Induced choquet ordered averaging operator and its application to group decision making , 2010 .

[13]  José M. Merigó,et al.  Linguistic Aggregation Operators for Linguistic Decision Making Based on the Dempster-Shafer Theory of Evidence , 2010, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[14]  Z. S. Xu,et al.  Eowa And Eowg Operators For Aggregating Linguistic Labels Based On Linguistic Preference Relations , 2004, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[15]  Peide Liu,et al.  Investigation into Evaluation of Agriculture Informatization Level Based on Two-Tuple , 2011 .

[16]  Yejun Xu,et al.  Standard and mean deviation methods for linguistic group decision making and their applications , 2010, Expert Syst. Appl..

[17]  Huayou Chen,et al.  A novel approach for question answering and automatic diagnosis based on pervasive agent ontology in medicine , 2010 .

[18]  Nicolaos B. Karayiannis,et al.  Soft learning vector quantization and clustering algorithms based on ordered weighted aggregation operators , 2000, IEEE Trans. Neural Networks Learn. Syst..

[19]  Zeshui Xu,et al.  Induced uncertain linguistic OWA operators applied to group decision making , 2006, Inf. Fusion.

[20]  Zheng Pei,et al.  An induced OWA operator in coal mine safety evaluation , 2012, J. Comput. Syst. Sci..

[21]  José M. Merigó,et al.  Fuzzy decision making with immediate probabilities , 2010, Comput. Ind. Eng..

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

[23]  José M. Merigó,et al.  THE FUZZY GENERALIZED OWA OPERATOR AND ITS APPLICATION IN STRATEGIC DECISION MAKING , 2010, Cybern. Syst..

[24]  Jin-Hsien Wang,et al.  A new version of 2-tuple fuzzy linguistic representation model for computing with words , 2006, IEEE Trans. Fuzzy Syst..

[25]  Enrique Herrera-Viedma,et al.  A Consensus Model for Group Decision Making Problems with Unbalanced Fuzzy Linguistic Information , 2009, Int. J. Inf. Technol. Decis. Mak..

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

[27]  Dimitar Filev,et al.  Induced ordered weighted averaging operators , 1999, IEEE Trans. Syst. Man Cybern. Part B.

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

[29]  Ronald R. Yager,et al.  Norms Induced from OWA Operators , 2010, IEEE Transactions on Fuzzy Systems.

[30]  Yejun Xu,et al.  Approaches based on 2-tuple linguistic power aggregation operators for multiple attribute group decision making under linguistic environment , 2011, Appl. Soft Comput..

[31]  Zeshui Xu,et al.  Distance and similarity measures for hesitant fuzzy sets , 2011, Inf. Sci..

[32]  Tomas Baležentis,et al.  An innovative multi-criteria supplier selection based on two-tuple multimoora and hybrid data , 2011 .

[33]  Zeshui Xu,et al.  Ordered weighted distance measure , 2008 .

[34]  Gui-Wu Wei,et al.  Grey relational analysis method for 2-tuple linguistic multiple attribute group decision making with incomplete weight information , 2011, Expert Syst. Appl..

[35]  János C. Fodor,et al.  Characterization of the ordered weighted averaging operators , 1995, IEEE Trans. Fuzzy Syst..

[36]  Huayou Chen,et al.  Continuous generalized OWA operator and its application to decision making , 2011, Fuzzy Sets Syst..

[37]  José M. Merigó,et al.  A New Minkowski Distance Based on Induced Aggregation Operators , 2011, Int. J. Comput. Intell. Syst..

[38]  Francisco Herrera,et al.  A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets , 2008, IEEE Transactions on Fuzzy Systems.

[39]  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.

[40]  B. Ahn Some remarks on the LSOWA approach for obtaining OWA operator weights , 2009 .

[41]  José M. Merigó,et al.  Decision-making with distance measures and induced aggregation operators , 2011, Comput. Ind. Eng..

[42]  Francisco Herrera,et al.  Theory and Methodology Choice functions and mechanisms for linguistic preference relations , 2000 .

[43]  Weihua Su,et al.  Intuitionistic fuzzy ordered weighted distance operator , 2011, Knowl. Based Syst..