Ordered weighted averaging operators 1988-2014: A citation-based literature survey

International Journal of Intelligent Systems

Volumn 29, Issue 11, 2014, Pages 994-1014

  Emrouznejad, Ali ^a   Marra, Marianna ^a  

^a ASTON UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

STATISTICAL METHODS;

CITATION NETWORKS; HISTORICAL RECONSTRUCTION; KNOWLEDGE ACCUMULATION; LITERATURE SURVEY; ORDERED WEIGHTED AVERAGING OPERATOR; SCIENTIFIC DEVELOPMENT;

SURVEYS;

EID: 84925587917     PISSN: 08848173     EISSN: 1098111X     Source Type: Journal    
DOI: 10.1002/int.21673     Document Type: Review

References (58)

1. Yager RR,. On ordered weighted averaging aggregation operators in multicriteria decision making. IEEE Trans Systems Man and Cybernet 1988; 18 (1): 183-190.
2. Yager RR., 1995. An approach to ordinal decision making. Int J Approx Reason 12 (3): 237-261.
3. Yager RR, Kreinovich, V,. Decision making under interval probabilities. Int J Approx Reason 1999; 22 (3): 195-215.
4. Kacprzyk J, Zadrożny S,. Computing with words in intelligent database querying: standalone and Internet-based applications. Inform Sci 2001; 134 (1): 71-109.
5. Herrera-Viedma E, Cordõn O, Luque M, Lopez AG, Muñoz AM,. A model of fuzzy linguistic IRS based on multi-granular linguistic information. Int J Approx Reason 2003; 34 (2-3): 221-239.
6. Torra V,. OWA operators in data modeling and reidentification. IEEE Trans Fuzzy Syst 2004; 12 (5): 652-660.
7. Garfield E, Sher I, Torpie R,. 1964. The use of citation data in writing the history of science. Philadelphia, PA: Institute for Scientific Information; 1964. Available at www.garfield.library.upenn.edu/papers/useofcitdatawritinghistofsci.pdf.
8. Garfield E,. From the science of science to scientometrics visualizing the history of science with HistCite software. J Informetrics 2009; 3 (3): 21-26.
9. Kejžar N, Černe SK, Batagelj V,. Network analysis of works on clustering and classification from Web of Science. In, Locarek-Junge H, Weihs C, editors. Classification as a tool for research, studies in classification, data analysis, and knowledge organization. Berlin: Springer; 2010. pp 525-536.
10. Garfield E,. Why do we need algorithmic historiography? J Am Soc Inform Sci Technol 2003; 54 (3): 400-412.
11. De Stefano D, Giordano G, Vitale MP,. Issues in the analysis of co-authorship networks. Qual Quant 2011; 45 (5): 1091-1107.
12. Lee JD, Baek C, Kim HS, Lee J-S,. Development pattern of the DEA research field: a social network analysis approach. J Product Anal 2014; 41 (2): 175-186.
13. Calero-Medina C, Noyons ECM,. Combining mapping and citation network analysis for a better understanding of the scientific development: The case of the absorptive capacity field. J Informetrics 2008; 2 (4): 272-279.
14. Ding Y, Liu X, Guo C, Cronin, B,. The distribution of references across texts: Some implications for citation analysis. J Informetrics 2013; 7 (3): 583-592.
15. Liu JS, Lu L, Lu WM, Lin BJY,. Data envelopment analysis 1978-2010: A citation-based literature survey. Omega 2013; 41 (1): 3-15.
16. Hummon NP, Doreian P,. Connectivity in a citation network: The development of the DNA theory. Social Netw 1989; 11 (1): 39-63.
17. Batagelj V,. Efficient algorithms for citation network analysis. Working paper, Department of Theoretical and Computer Science, University of Lubjana; 2003.
18. Leydesdorff L, Vaughan L,. Co-occurrence matrices and their applications in information science: Extending ACA to the web environment. J Am Soc Inform Sci Technol 2006; 57 (12): 1616-1628.
19. Yager RR,. Families of OWA operators. Fuzzy Sets Syst 1993; 59 (2): 125-148.
20. Yager RR., 1995. Measures of entropy and fuzziness related to aggregation operators. Inform Sci 82 (3-4): 147-166.
21. Yager RR, Filev DP,. Parameterized and-like and or-like operators. Int J Gen Syst 1994; 22 (3): 297-316.
22. Marichal J,. Aggregation operators for multicriteria decision aid. Ph.D. thesis, Institute of Mathematics, University of Liège, Liège, Belgium; 1999.
23. Fernández Salido JM, Murakami S,. Extending Yager's orness concept for the OWA aggregators to other mean operators. Fuzzy Sets Syst 2003; 139 (3): 515-542.
24. Yager RR,. Generalized OWA aggregation operators. Fuzzy Optim Decis Making 2004; 3 (1): 93-107.
25. Mitchell HB, Estrakh DD,. An OWA operator with fuzzy ranks. Int J Intell Syst 1998; 13 (1): 69-81.
26. Mitchell HB, Schaefer PA,. Multiple priorities in an induced ordered weighted averaging operator. Int J Intell Syst 2000; 15 (4): 317-327.
27. Xu ZS, Da QL,. The uncertain OWA operator. Int J Intell Syst 2002; 17 (6): 569-575.
28. Xu ZS, Da QL,. The ordered weighted geometric averaging operators. Int J Intell Syst 2002; 17 (7): 709-716.
29. Herrera F, Herrera-Viedma E, Chiclana, F,. A study of the origin and uses of the ordered weighted geometric operator in multicriteria decision making. Int J Intell Syst 2003; 18 (6): 689-707.
30. Yager RR,. Using fuzzy methods to model nearest neighbor rules. IEEE Transactions on systems, man, and cybernetics. IEEE Trans Syst Man Cybernet, Part B 2002; 32 (4): 512-525.
31. Yager RR,. Induced aggregation operators. Fuzzy Sets Systems 2003; 137 (1): 59-69.
32. Xu Z,. On generalized induced linguistic aggregation operators. Int J Gen Syst 2006; 35 (1): 17-28.
33. Xu ZS,. Intuitionistic Fuzzy Aggregation Operators. IEEE Trans Fuzzy Syst 2007; 15 (6): 1179-1187.
34. Zhao H, Xu Z, Ni M, Liu S,. Generalized aggregation operators for intuitionistic fuzzy sets. Int J Intell Syst 2010; 25: 1-30.
35. Merigõ JM, Casanovas M,. Fuzzy generalized hybrid aggregation operators and its application in fuzzy decision making. Int J Fuzzy Syst 2010; 12 (1): 15-24.
36. Yager RR,. Constrained OWA aggregation. Fuzzy Sets Syst 1996; 81 (1): 89-101.
37. Yager RR,. On the analytic representation of the Leximin ordering and its application to flexible constraint propagation. Eur J Oper Res 1997; 102 (1): 176-192.
38. Ogryczak W, ͆liwiński, T,. On solving linear programs with the ordered weighted averaging objective. Eur J Oper Res 2003; 148 (1): 80-91.
39. Liu X, Chen L,. On the properties of parametric geometric OWA operator. Int J Approx Reason 2004; 35 (2): 163-178.
40. Wang YM, Parkan, C,. A minimax disparity approach for obtaining OWA operator weights. Inform Sci 2005; 175 (1): 20-29.
41. Amin GR, Emrouznejad, A,. An extended minimax disparity to determine the OWA operator weights. Comput Ind Eng 2006; 50 (3): 312-316.
42. Llamazares B,. Choosing OWA operator weights in the field of Social Choice. Inform Sci 2007; 177 (21): 4745-4756.
43. Wang YM, Luo Y, Hua, Z,. Aggregating preference rankings using OWA operator weights. Inform Sci 2007; 177 (16): 3356-3363.
44. Merigõ JM, Gil-Lafuente AM,. The induced generalized OWA operator. Inform Sci 2009; 179 (6): 729-741.
45. Merigõ JM, Casanovas M,. Decision making with distance measures and linguistic aggregation operators. Int J Fuzzy Syst 2010; 12 (3): 190-198.
46. Merigõ JM,. Fuzzy decision making with immediate probabilities. Comput Ind Eng 2010; 58 (4): 651-657.
47. Merigõ JM, Gil-Lafuente AM,. New decision-making techniques and their application in the selection of financial products. Inform Sci 2010; 180 (11): 2085-2094.
48. Merigõ JM, Casanovas M,. 2010. Induced and heavy aggregation operators with distance measures. Syst Eng Electron 21 (3): 431-439.
49. Merigõ JM, Casanovas M,. Decision-making with distance measures and induced aggregation operators. Comput Ind Eng 2011; 60 (1): 66-76.
50. Merigõ JM, Casanovas M,. 2010. The fuzzy generalized OWA operator and its application in strategic decision making. Cybernet Syst 41 (5): 359-370.
51. Merigõ JM, Casanovas M,. Induced aggregation operators in the Euclidean distance and its application in financial decision making. Expert Syst Appl 2011; 38 (6): 7603-7608.
52. Merigõ JM, Gil-Lafuente AM,. Fuzzy induced generalized aggregation operators and its application in multi-person decision making. Expert Syst Appl 2011; 38 (8): 9761-9772.
53. Merigõ JM,. A unified model between the weighted average and the induced OWA operator. Expert Syst Appl 2011; 38 (9): 11560-11572.
54. Yager RR,. Induced ordered weighted averaging operators. IEEE Trans Systems Man,and Cybernet Part B 1999; 29 (2): 141-150.
55. Filev D, Yager RR,. On the issue of obtaining OWA operator weights. Fuzzy Sets Syst 1998; 94 (2): 157-169.
56. Xu ZS, Da QL,. An overview of operators for aggregating information. Int J Intell Syst 2003; 18 (9): 953-969.
57. Xu Z,. An overview of methods for determining OWA weights. Int J Intell Syst 2005; 20 (8): 843-865.
58. Zeng S, Merigõ JM, Su, W,. The uncertain probabilistic OWA distance operator and its application in group decision making. Appl Math Model 2013; 37 (9): 6266-6275.