Exploring the Ordered Weighted Averaging Operator Knowledge Domain: A Bibliometric Analysis

Ordered weighted averaging (OWA) operator has been received increasingly widespread interest since its appearance in 1988. Recently, a topic search with the keywords “ordered weighted averaging operator” or “OWA operator” on Web of Science (WOS) found 1231 documents. As the publications about OWA operator increase rapidly, thus a scientometric analysis of this research field and discovery of its knowledge domain becomes very important and necessary. This paper studies the publications about OWA operator between 1988 and 2015, and it is based on 1213 bibliographic records obtained by using topic search from WOS. The disciplinary distribution, most cited papers, influential journals, as well as influential authors are analyzed through citation and cocitation analysis. The emerging trends in OWA operator research are explored by keywords and references burst detection analysis. The research methods and results in this paper are meaningful for researchers associated with OWA operator field to understand the knowledge domain and establish their own future research direction.

[1]  Vicenç Torra On some relationships between hierarchies of quasiarithmetic means and neural networks , 1999 .

[2]  Zeshui Xu,et al.  Admissible orders of typical hesitant fuzzy elements and their application in ordered information fusion in multi-criteria decision making , 2016, Inf. Fusion.

[3]  Zeshui Xu,et al.  Asymmetric hesitant fuzzy sigmoid preference relations in the analytic hierarchy process , 2016, Inf. Sci..

[4]  Dejian Yu,et al.  Researching the development of Atanassov intuitionistic fuzzy set: Using a citation network analysis , 2015, Appl. Soft Comput..

[5]  Ali Emrouznejad,et al.  Ordered Weighted Averaging Operators 1988–2014: A Citation‐Based Literature Survey , 2014, Int. J. Intell. Syst..

[6]  Ronald R. Yager,et al.  Quantifier guided aggregation using OWA operators , 1996, Int. J. Intell. Syst..

[7]  Zeshui Xu,et al.  A C‐OWA operator‐based approach to decision making with interval fuzzy preference relation , 2006, Int. J. Intell. Syst..

[8]  Naif Alajlan,et al.  Probabilistically Weighted OWA Aggregation , 2014, IEEE Transactions on Fuzzy Systems.

[9]  Dejian Yu,et al.  Mapping development of linguistic decision making studies , 2016, J. Intell. Fuzzy Syst..

[10]  Dejian Yu,et al.  Intuitionistic fuzzy information aggregation under confidence levels , 2014, Appl. Soft Comput..

[11]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .

[12]  Chaomei Chen,et al.  Web site design with the patron in mind: A step-by-step guide for libraries , 2006 .

[13]  Z. S. Xu,et al.  The ordered weighted geometric averaging operators , 2002, Int. J. Intell. Syst..

[14]  Z. S. Xu,et al.  An overview of operators for aggregating information , 2003, Int. J. Intell. Syst..

[15]  Krassimir T. Atanassov,et al.  Intuitionistic fuzzy sets , 1986 .

[16]  Irina Khutsishvili,et al.  Temporalized Structure of Bodies of Evidence in the Multi-Criteria Decision-Making Model , 2015, Int. J. Inf. Technol. Decis. Mak..

[17]  Zeshui Xu,et al.  Multi-period multi-attribute group decision-making under linguistic assessments , 2009, Int. J. Gen. Syst..

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

[19]  Lotfi A. Zadeh,et al.  The concept of a linguistic variable and its application to approximate reasoning-III , 1975, Inf. Sci..

[20]  J. Kacprzyk,et al.  The Ordered Weighted Averaging Operators: Theory and Applications , 1997 .

[21]  Dejian Yu Decision making based on generalized geometric operator under interval-valued intuitionistic fuzzy environment , 2013, J. Intell. Fuzzy Syst..

[22]  Hai Wang,et al.  Extended hesitant fuzzy linguistic term sets and their aggregation in group decision making , 2015, Int. J. Comput. Intell. Syst..

[23]  Yejun Xu,et al.  Group decision making under hesitant fuzzy environment with application to personnel evaluation , 2013, Knowl. Based Syst..

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

[25]  Aparna Mehra,et al.  A bipolar approach in fuzzy multi-objective linear programming , 2014, Fuzzy Sets Syst..

[26]  Francisco Herrera,et al.  Linguistic decision analysis: steps for solving decision problems under linguistic information , 2000, Fuzzy Sets Syst..

[27]  Ronald R. Yager,et al.  Generalized OWA Aggregation Operators , 2004, Fuzzy Optim. Decis. Mak..

[28]  Chaomei Chen,et al.  A scientometric review of emerging trends and new developments in recommendation systems , 2015, Scientometrics.

[29]  Ronald R. Yager,et al.  OWA aggregation over a continuous interval argument with applications to decision making , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

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

[31]  B. S. Ahn,et al.  Aggregation of ordinal data using ordered weighted averaging operator weights , 2012, Annals of Operations Research.

[32]  M. O'Hagan,et al.  Aggregating Template Or Rule Antecedents In Real-time Expert Systems With Fuzzy Set Logic , 1988, Twenty-Second Asilomar Conference on Signals, Systems and Computers.

[33]  Ronald R. Yager,et al.  On the RAGE aggregation method with applications to neural networks and decision making , 1994, Int. J. Approx. Reason..

[34]  Shouzhen Zeng,et al.  TOPSIS method for intuitionistic fuzzy multiple-criteria decision making and its application to investment selection , 2016, Kybernetes.

[35]  Dejian Yu,et al.  Intuitionistic fuzzy geometric Heronian mean aggregation operators , 2013, Appl. Soft Comput..

[36]  Xinwang Liu,et al.  Some properties of the weighted OWA operator , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[37]  Francisco Herrera,et al.  Direct approach processes in group decision making using linguistic OWA operators , 1996, Fuzzy Sets Syst..

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

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

[40]  S. Ovchinnikov An analytic characterization of some aggregation operators , 1998 .

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

[42]  Vicenç Torra,et al.  The weighted OWA operator , 1997, Int. J. Intell. Syst..

[43]  Dejian Yu,et al.  Group decision making based on generalized intuitionistic fuzzy prioritized geometric operator , 2012, Int. J. Intell. Syst..

[44]  Dimitar Filev,et al.  On the issue of obtaining OWA operator weights , 1998, Fuzzy Sets Syst..

[45]  Weidong Liu,et al.  Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis , 2015, Scientometrics.

[46]  Zeshui Xu,et al.  An overview of methods for determining OWA weights , 2005, Int. J. Intell. Syst..

[47]  Janusz Kacprzyk,et al.  The Ordered Weighted Averaging Operators , 1997 .

[48]  Robert Fullér,et al.  An Analytic Approach for Obtaining Maximal Entropy Owa Operator Weights , 2001, Fuzzy Sets Syst..

[49]  Zeshui Xu,et al.  Intuitionistic Fuzzy Aggregation Operators , 2007, IEEE Transactions on Fuzzy Systems.

[50]  Chaomei Chen,et al.  Searching for intellectual turning points: Progressive knowledge domain visualization , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[51]  Dejian Yu,et al.  Some Hesitant Fuzzy Information Aggregation Operators Based on Einstein Operational Laws , 2014, Int. J. Intell. Syst..

[52]  Huchang Liao,et al.  Visualization and quantitative research on intuitionistic fuzzy studies , 2016, J. Intell. Fuzzy Syst..

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

[54]  Jian-Bo Yang,et al.  Group decision making with expertons and uncertain generalized probabilistic weighted aggregation operators , 2014, Eur. J. Oper. Res..

[55]  Dejian Yu,et al.  A scientometrics review on aggregation operator research , 2015, Scientometrics.

[56]  Lotfi A. Zadeh,et al.  A COMPUTATIONAL APPROACH TO FUZZY QUANTIFIERS IN NATURAL LANGUAGES , 1983 .

[57]  Meen Chul Kim,et al.  Orphan drugs and rare diseases: a scientometric review (2000 – 2014) , 2014 .

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

[59]  Ronald R. Yager,et al.  On ordered weighted averaging aggregation operators in multicriteria decision-making , 1988 .

[60]  Xudong Luo,et al.  A Spectrum of Weighted Compromise Aggregation Operators: A Generalization of Weighted Uninorm Operator , 2015, Int. J. Intell. Syst..

[61]  José M. Merigó,et al.  An overview of fuzzy research with bibliometric indicators , 2015, Appl. Soft Comput..

[62]  Qingpu Zhang,et al.  Knowledge map of creativity research based on keywords network and co-word analysis, 1992–2011 , 2015 .

[63]  José M. Merigó,et al.  Aggregation operators in economic growth analysis and entrepreneurial group decision-making , 2016, Appl. Soft Comput..

[64]  Vicenç Torra,et al.  Hesitant fuzzy sets , 2010, Int. J. Intell. Syst..

[65]  Robert Fullér,et al.  On Obtaining Minimal Variability Owa Operator Weights , 2002, Fuzzy Sets Syst..

[66]  Zeshui Xu,et al.  Generalized asymmetric linguistic term set and its application to qualitative decision making involving risk appetites , 2016, Eur. J. Oper. Res..

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

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

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

[70]  José M. Merigó,et al.  Induced aggregation operators in decision making with the Dempster‐Shafer belief structure , 2009, Int. J. Intell. Syst..

[71]  Didier Dubois,et al.  A review of fuzzy set aggregation connectives , 1985, Inf. Sci..

[72]  Chaomei Chen,et al.  CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature , 2006, J. Assoc. Inf. Sci. Technol..

[73]  Dejian Yu,et al.  Intuitionistic fuzzy theory based typhoon disaster evaluation in Zhejiang Province, China: a comparative perspective , 2015, Natural Hazards.

[74]  Zeshui Xu,et al.  Dynamic intuitionistic fuzzy multi-attribute decision making , 2008, Int. J. Approx. Reason..

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