Skip to main content
Top
Published in: Cognitive Computation 5/2019

04-07-2019

Extensions of Intuitionistic Fuzzy Geometric Interaction Operators and Their Application to Cognitive Microcredit Origination

Authors: Lin Zhang, Yingdong He

Published in: Cognitive Computation | Issue 5/2019

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The intuitionistic fuzzy set (IFS), a popular tool to present decision makers’ cognitive information, has received considerable attention from researchers. To extend the interaction operational laws in the computation of cognitive information, this paper focuses on investigating extensions of geometric interaction aggregation operators by means of the t-norm and the corresponding t-conorm under an intuitionistic fuzzy environment. We develop the extending intuitionistic fuzzy-weighted geometric interaction averaging (EIFWGIA) operator, the extending intuitionistic fuzzy-ordered weighted geometric interaction averaging (EIFOWGIA) operator, the intuitionistic fuzzy weighted geometric interaction quasi-arithmetic mean (IFWGIQAM), and the intuitionistic fuzzy-ordered weighted geometric interaction quasi-arithmetic mean (IFOWGIQAM). We investigate the properties of the proposed extensions and apply the extensions to the cognitive microcredit origination problem. For different generator functions h and ϕ, the proposed IFWGIQAM and IFOWGIQAM degenerate into existing intuitionistic fuzzy aggregation operators or extensions, some of which consider situations that in which no interactions exist between membership and non-membership functions, which can be used in more decision situations. The methods developed in this paper can be used to account for several decision situations. The numerical example demonstrates the validity of the proposed approaches by means of comparisons.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Akram M, Dudek WA. Intuitionistic fuzzy hypergraphs with applications. Inf Sci. 2013;218:182–93. Akram M, Dudek WA. Intuitionistic fuzzy hypergraphs with applications. Inf Sci. 2013;218:182–93.
3.
go back to reference Atanassov KT. Intuitionistic fuzzy sets. Fuzzy Sets Syst. 1986;80:87–96. Atanassov KT. Intuitionistic fuzzy sets. Fuzzy Sets Syst. 1986;80:87–96.
4.
go back to reference Atanassov KT. New operations defined over the intuitionistic fuzzy sets. Fuzzy Sets Syst. 1994;61:137–42. Atanassov KT. New operations defined over the intuitionistic fuzzy sets. Fuzzy Sets Syst. 1994;61:137–42.
5.
go back to reference Beliakov G, James S, Mordelová J, Rückschlossová T, Yager RR. Generalized Bonferroni mean operators in multi-criteria aggregation. Fuzzy Sets Syst. 2010;161:2227–42. Beliakov G, James S, Mordelová J, Rückschlossová T, Yager RR. Generalized Bonferroni mean operators in multi-criteria aggregation. Fuzzy Sets Syst. 2010;161:2227–42.
6.
go back to reference Beliakov G, Bustince H, Goswami DP, Mukherjee UK, Pal NR. On averaging operators for Atanassov’s intuitionistic fuzzy sets. Inf Sci. 2011;181:1116–24. Beliakov G, Bustince H, Goswami DP, Mukherjee UK, Pal NR. On averaging operators for Atanassov’s intuitionistic fuzzy sets. Inf Sci. 2011;181:1116–24.
7.
go back to reference Beliakov G, Pradera A, Calvo T. Aggregation functions: a guide for practitioners, vol. 2. Heidelberg: Springer. p. 007. Beliakov G, Pradera A, Calvo T. Aggregation functions: a guide for practitioners, vol. 2. Heidelberg: Springer. p. 007.
8.
go back to reference Bellman RE, Zadeh LA. Decision-making in a fuzzy environment. Manag Sci. 1970;17:B-141–64. Bellman RE, Zadeh LA. Decision-making in a fuzzy environment. Manag Sci. 1970;17:B-141–64.
9.
go back to reference Calvo T, Mesiar R. Aggregation operators: ordering and bounds. Fuzzy Sets Syst. 2003;139:685–97. Calvo T, Mesiar R. Aggregation operators: ordering and bounds. Fuzzy Sets Syst. 2003;139:685–97.
10.
go back to reference Carneiro J, Conceição L, Martinho D, Marreiros G, Novais P. Including cognitive aspects in multiple criteria decision analysis. Ann Oper Res. 2018;265:269–91. Carneiro J, Conceição L, Martinho D, Marreiros G, Novais P. Including cognitive aspects in multiple criteria decision analysis. Ann Oper Res. 2018;265:269–91.
11.
go back to reference Chen SM, Tan JM. Handling multi-criteria fuzzy decision-making problems based on vague set theory. Fuzzy Sets Syst. 1994;67:163–72. Chen SM, Tan JM. Handling multi-criteria fuzzy decision-making problems based on vague set theory. Fuzzy Sets Syst. 1994;67:163–72.
12.
go back to reference Chuu SJ. Interactive group decision-making using a fuzzy linguistic approach for evaluating the flexibility in a supply chain. Eur J Oper Res. 2011;213:279–89. Chuu SJ. Interactive group decision-making using a fuzzy linguistic approach for evaluating the flexibility in a supply chain. Eur J Oper Res. 2011;213:279–89.
13.
go back to reference De SK, Biswas R, Roy AR. Some operations on intuitionistic fuzzy sets. Fuzzy Set and Systems. 2000;114:477–84. De SK, Biswas R, Roy AR. Some operations on intuitionistic fuzzy sets. Fuzzy Set and Systems. 2000;114:477–84.
14.
go back to reference Deschrijver G. The Archimedean property for t-norms in interval-valued fuzzy set theory. Fuzzy Sets Syst. 2006;157:2311–27. Deschrijver G. The Archimedean property for t-norms in interval-valued fuzzy set theory. Fuzzy Sets Syst. 2006;157:2311–27.
15.
go back to reference Deschrijver G. Arithmetic operators in interval-valued fuzzy set theory. Inf Sci. 2007;177:2906–24. Deschrijver G. Arithmetic operators in interval-valued fuzzy set theory. Inf Sci. 2007;177:2906–24.
16.
go back to reference Deschrijver G. Generalized arithmetic operators and their relationship to t-norms in interval-valued fuzzy set theory. Fuzzy Sets Syst. 2009;160:3080–102. Deschrijver G. Generalized arithmetic operators and their relationship to t-norms in interval-valued fuzzy set theory. Fuzzy Sets Syst. 2009;160:3080–102.
17.
go back to reference Dubois D, Prade H. Fuzzy sets and systems: theory and applications. New York: Academic Press; 1980. Dubois D, Prade H. Fuzzy sets and systems: theory and applications. New York: Academic Press; 1980.
18.
go back to reference Dymova L, Sevastjinov P. An interpretation of intuitionistic fuzzy sets in terms of evidences theory: decision making aspect. Knowl-Based Syst. 2010;23:772–82. Dymova L, Sevastjinov P. An interpretation of intuitionistic fuzzy sets in terms of evidences theory: decision making aspect. Knowl-Based Syst. 2010;23:772–82.
19.
go back to reference Flavell JH, Miller PH, Social cognition. (1998) In W. Damon (Ed.), Handbook of child psychology: Vol. 2. Cognition, perception, and language (pp.851–898). Hoboken, NJ, US: John Wiley & Sons Inc. Flavell JH, Miller PH, Social cognition. (1998) In W. Damon (Ed.), Handbook of child psychology: Vol. 2. Cognition, perception, and language (pp.851–898). Hoboken, NJ, US: John Wiley & Sons Inc.
20.
go back to reference Garg H, Arora R. Dual hesitant fuzzy soft aggregation operators and their application in decision-making. Cogn Comput. 2018;10:769–89. Garg H, Arora R. Dual hesitant fuzzy soft aggregation operators and their application in decision-making. Cogn Comput. 2018;10:769–89.
21.
go back to reference Gau WL, Buehrer DJ. Vague sets. IEEE Trans Syst Man Cybern. 1993;23:610–4. Gau WL, Buehrer DJ. Vague sets. IEEE Trans Syst Man Cybern. 1993;23:610–4.
22.
go back to reference He YD, He Z. Extensions of Atanassov’s intuitionistic fuzzy interaction Bonferroni means and their application to multiple attribute decision making. IEEE Trans Fuzzy Syst. 2016;24:558–73. He YD, He Z. Extensions of Atanassov’s intuitionistic fuzzy interaction Bonferroni means and their application to multiple attribute decision making. IEEE Trans Fuzzy Syst. 2016;24:558–73.
23.
go back to reference He YD, Chen HY, Zhou LG, Liu JP, Tao ZF. Intuitionistic fuzzy geometric interaction averaging operators and their application to multi-criteria decision making. Inf Sci. 2014;259:142–59. He YD, Chen HY, Zhou LG, Liu JP, Tao ZF. Intuitionistic fuzzy geometric interaction averaging operators and their application to multi-criteria decision making. Inf Sci. 2014;259:142–59.
24.
go back to reference He YD, Chen HY, Zhou LG, Han B, Zhao QY, Liu JP. Generalized intuitionistic fuzzy geometric interaction operators and their application to decision making. Expert Syst Appl. 2014;41:2484–95. He YD, Chen HY, Zhou LG, Han B, Zhao QY, Liu JP. Generalized intuitionistic fuzzy geometric interaction operators and their application to decision making. Expert Syst Appl. 2014;41:2484–95.
25.
go back to reference Hong DH, Choi CH. Multicriteria fuzzy decision-making problems based on vague set thoery. Fuzzy Sets Syst. 2000;114:103–13. Hong DH, Choi CH. Multicriteria fuzzy decision-making problems based on vague set thoery. Fuzzy Sets Syst. 2000;114:103–13.
26.
go back to reference Jiménez JMM, Vargas LG. Cognitive multiple criteria decision making and the legacy of the analytic hierarchy process. Estudios de Economía Aplicada. 2018;36:67–80. Jiménez JMM, Vargas LG. Cognitive multiple criteria decision making and the legacy of the analytic hierarchy process. Estudios de Economía Aplicada. 2018;36:67–80.
27.
go back to reference Klement EP, Mesiar R, editors. Logical, algebraic, analytic, and probabilistic aspects of triangular norms. New York: Elsevier; 2005. Klement EP, Mesiar R, editors. Logical, algebraic, analytic, and probabilistic aspects of triangular norms. New York: Elsevier; 2005.
28.
go back to reference Kolesárová A. Limit properties of quasi-arithmetic means. Fuzzy Sets Syst. 2001;124:65–71. Kolesárová A. Limit properties of quasi-arithmetic means. Fuzzy Sets Syst. 2001;124:65–71.
29.
go back to reference Li DF. TOPSIS-based nonlinear-programming methodology for multi-attribute decision making with interval-valued intuitionistic fuzzy sets. IEEE Trans Fuzzy Syst. 2010;18:299–311. Li DF. TOPSIS-based nonlinear-programming methodology for multi-attribute decision making with interval-valued intuitionistic fuzzy sets. IEEE Trans Fuzzy Syst. 2010;18:299–311.
30.
go back to reference Li X, Chen X. D-intuitionistic hesitant fuzzy sets and their application in multiple attribute decision making. Cogn Comput. 2018;10:496–505. Li X, Chen X. D-intuitionistic hesitant fuzzy sets and their application in multiple attribute decision making. Cogn Comput. 2018;10:496–505.
31.
go back to reference Li J, Wang JQ. Multi-criteria outranking methods with hesitant probabilistic fuzzy sets. Cogn Comput. 2017;9:611–25. Li J, Wang JQ. Multi-criteria outranking methods with hesitant probabilistic fuzzy sets. Cogn Comput. 2017;9:611–25.
32.
go back to reference Liu XW. An orness measure for quasi-arithmetic means. IEEE Trans Fuzzy Syst. 2006;14:837–48. Liu XW. An orness measure for quasi-arithmetic means. IEEE Trans Fuzzy Syst. 2006;14:837–48.
33.
go back to reference Liu PD, Li HG. Interval-valued intuitionistic fuzzy power Bonferroni aggregation operators and their application to group decision making. Cogn Comput. 2017;9:494–512. Liu PD, Li HG. Interval-valued intuitionistic fuzzy power Bonferroni aggregation operators and their application to group decision making. Cogn Comput. 2017;9:494–512.
34.
go back to reference Liu PD, Shi LL. Some neutrosophic uncertain linguistic number Heronian mean operators and their application to multi-attribute group decision making. Neural Comput & Applic. 2017;28:1079–93. Liu PD, Shi LL. Some neutrosophic uncertain linguistic number Heronian mean operators and their application to multi-attribute group decision making. Neural Comput & Applic. 2017;28:1079–93.
35.
go back to reference Liu PD, Tang GL. Multi-criteria group decision-making based on interval neutrosophic uncertain linguistic variables and Choquet integral. Cogn Comput. 2016;8:1036–56. Liu PD, Tang GL. Multi-criteria group decision-making based on interval neutrosophic uncertain linguistic variables and Choquet integral. Cogn Comput. 2016;8:1036–56.
36.
go back to reference Liu PD, Wang P. Some improved linguistic intuitionistic fuzzy aggregation operators and their applications to multiple-attribute decision making. Int J Inf Technol Decis Mak. 2017;16:817–50. Liu PD, Wang P. Some improved linguistic intuitionistic fuzzy aggregation operators and their applications to multiple-attribute decision making. Int J Inf Technol Decis Mak. 2017;16:817–50.
37.
go back to reference Liu PD, Zhang XH. A novel picture fuzzy linguistic aggregation operator and its application to group decision-making. Cogn Comput. 2018;10:242–59. Liu PD, Zhang XH. A novel picture fuzzy linguistic aggregation operator and its application to group decision-making. Cogn Comput. 2018;10:242–59.
38.
go back to reference Liu F, Zhang WG, Wang ZX. A goal programming model for incomplete interval multiplicative preference relations and its application in group decision-making. Eur J Oper Res. 2012;218:747–54. Liu F, Zhang WG, Wang ZX. A goal programming model for incomplete interval multiplicative preference relations and its application in group decision-making. Eur J Oper Res. 2012;218:747–54.
39.
go back to reference Liu PD, Zhang L, Liu X, Wang P. Multi-valued Neutrosophic number Bonferroni mean operators and their application in multiple attribute group decision making. Int J Inf Technol Decis Mak. 2016;15:1181–210. Liu PD, Zhang L, Liu X, Wang P. Multi-valued Neutrosophic number Bonferroni mean operators and their application in multiple attribute group decision making. Int J Inf Technol Decis Mak. 2016;15:1181–210.
40.
go back to reference Liu PD, Chen SM, Liu J. Some intuitionistic fuzzy interaction partitioned Bonferroni mean operators and their application to multi-attribute group decision making. Inf Sci. 2017;411:98–121. Liu PD, Chen SM, Liu J. Some intuitionistic fuzzy interaction partitioned Bonferroni mean operators and their application to multi-attribute group decision making. Inf Sci. 2017;411:98–121.
41.
go back to reference Meng FY, Chen XH. Correlation coefficients of hesitant fuzzy sets and their application based on fuzzy measures. Cogn Comput. 2015;7:445–63. Meng FY, Chen XH. Correlation coefficients of hesitant fuzzy sets and their application based on fuzzy measures. Cogn Comput. 2015;7:445–63.
42.
go back to reference Meng FY, Wang C, Chen XH. Linguistic interval hesitant fuzzy sets and their application in decision making. Cogn Comput. 2016;8:52–68. Meng FY, Wang C, Chen XH. Linguistic interval hesitant fuzzy sets and their application in decision making. Cogn Comput. 2016;8:52–68.
43.
go back to reference Merigó JM, Gil-Lafuente AM. The induced generalized OWA operator. Inf Sci. 2009;179:729–41. Merigó JM, Gil-Lafuente AM. The induced generalized OWA operator. Inf Sci. 2009;179:729–41.
44.
go back to reference Merigó JM, Gil-Lafuente AM. Induced 2-tuple linguistic generalized aggregation operators and their application in decision-making. Inf Sci. 2013;236:1–16. Merigó JM, Gil-Lafuente AM. Induced 2-tuple linguistic generalized aggregation operators and their application in decision-making. Inf Sci. 2013;236:1–16.
45.
go back to reference Peng HG, Wang JQ. Outranking decision-making method with Z-number cognitive information. Cogn Comput. 2018;10:752–68. Peng HG, Wang JQ. Outranking decision-making method with Z-number cognitive information. Cogn Comput. 2018;10:752–68.
46.
go back to reference Pires P, Mendes L, Mendes J, Rodrigues R, Pereira A. Integrated e-healthcare system for elderly support. Cogn Comput. 2016;8:1–17. Pires P, Mendes L, Mendes J, Rodrigues R, Pereira A. Integrated e-healthcare system for elderly support. Cogn Comput. 2016;8:1–17.
47.
go back to reference Rezaei J, Ortt R. Multi-criteria supplier segmentation using a fuzzy preference relation based AHP. Eur J Oper Res. 2013;225:75–84. Rezaei J, Ortt R. Multi-criteria supplier segmentation using a fuzzy preference relation based AHP. Eur J Oper Res. 2013;225:75–84.
48.
go back to reference Rodriguez RM, Martinez L, Herrera F. Hesitant fuzzy linguistic term sets for decision making. IEEE Trans Fuzzy Syst. 2012;20:109–19. Rodriguez RM, Martinez L, Herrera F. Hesitant fuzzy linguistic term sets for decision making. IEEE Trans Fuzzy Syst. 2012;20:109–19.
49.
go back to reference Saaty TL. The analytic hierarchy process. New York: McGraw-Hill; 1980. Saaty TL. The analytic hierarchy process. New York: McGraw-Hill; 1980.
50.
go back to reference Sedikides C, Guinote A. How status shapes social cognition: introduction to the special issue, “the status of status: vistas from social cognition”. Soc Cogn. 2018;36:1–3. Sedikides C, Guinote A. How status shapes social cognition: introduction to the special issue, “the status of status: vistas from social cognition”. Soc Cogn. 2018;36:1–3.
51.
go back to reference Tao ZF, Han B, Chen HY. On intuitionistic fuzzy copula aggregation operators in multiple-attribute decision making. Cogn Comput. 2018;10:610–24. Tao ZF, Han B, Chen HY. On intuitionistic fuzzy copula aggregation operators in multiple-attribute decision making. Cogn Comput. 2018;10:610–24.
52.
go back to reference Tian ZP, Wang J, Wang JQ, Zhang HY. A likelihood-based qualitative flexible approach with hesitant fuzzy linguistic information. Cogn Comput. 2016;8:670–83. Tian ZP, Wang J, Wang JQ, Zhang HY. A likelihood-based qualitative flexible approach with hesitant fuzzy linguistic information. Cogn Comput. 2016;8:670–83.
53.
go back to reference TorraV, Narukawa Y, Modeling decisions: information fusion and aggregation operators, Spring, 2007. TorraV, Narukawa Y, Modeling decisions: information fusion and aggregation operators, Spring, 2007.
54.
go back to reference Wan SP, Li DF. Atanassov’s intuitionistic fuzzy programming method for heterogeneous multi-attribute group decision making with Atanassov’s intuitionistic fuzzy truth degrees. IEEE Trans Fuzzy Syst. 2014;22:300–12. Wan SP, Li DF. Atanassov’s intuitionistic fuzzy programming method for heterogeneous multi-attribute group decision making with Atanassov’s intuitionistic fuzzy truth degrees. IEEE Trans Fuzzy Syst. 2014;22:300–12.
55.
go back to reference Wang XZ, Dong CR. Improving generalization of fuzzy if-then rules by maximizing fuzzy entropy. IEEE Trans Fuzzy Syst. 2009;17:556–67. Wang XZ, Dong CR. Improving generalization of fuzzy if-then rules by maximizing fuzzy entropy. IEEE Trans Fuzzy Syst. 2009;17:556–67.
56.
go back to reference Wang WZ, Liu XW. Intuitionistic fuzzy information aggregation using Einstein operations. IEEE Trans Fuzzy Syst. 2012;20:923–38. Wang WZ, Liu XW. Intuitionistic fuzzy information aggregation using Einstein operations. IEEE Trans Fuzzy Syst. 2012;20:923–38.
57.
go back to reference Xia MM, Chen J. Multi-criteria group decision making based on bilateral agreements. Eur J Oper Res. 2015;240:756–64. Xia MM, Chen J. Multi-criteria group decision making based on bilateral agreements. Eur J Oper Res. 2015;240:756–64.
58.
go back to reference Xia MM, Xu ZS, Chen J. Algorithms for improving consistence or consensus of reciprocal [0,1]-valued preference relations. Fuzzy Sets Syst. 2013;216:108–33. Xia MM, Xu ZS, Chen J. Algorithms for improving consistence or consensus of reciprocal [0,1]-valued preference relations. Fuzzy Sets Syst. 2013;216:108–33.
59.
go back to reference Xu ZS. An overview of methods for determining OWA weights. Int J Intell Syst. 2005;20:843–65. Xu ZS. An overview of methods for determining OWA weights. Int J Intell Syst. 2005;20:843–65.
60.
go back to reference Xu ZS, Hu H. Projection models for intuitionistic fuzzy multiple attribute decision making. Int J Inf Technol Decis Mak. 2010;9:267–80. Xu ZS, Hu H. Projection models for intuitionistic fuzzy multiple attribute decision making. Int J Inf Technol Decis Mak. 2010;9:267–80.
61.
go back to reference Xu ZS, Intuitionistic fuzzy aggregation operations. IEEE Trans Fuzzy Syst. 2007;15:1179–87. Xu ZS, Intuitionistic fuzzy aggregation operations. IEEE Trans Fuzzy Syst. 2007;15:1179–87.
62.
go back to reference Xu ZS, Yager RR. Some geometric aggregation operators based on intuitionistic fuzzy sets. Int J Gen Syst. 2006;35:417–33. Xu ZS, Yager RR. Some geometric aggregation operators based on intuitionistic fuzzy sets. Int J Gen Syst. 2006;35:417–33.
63.
go back to reference Yager RR. On ordered weighted averaging aggregation operators in multi- criteria decision making. IEEE Trans Syst Man Cybern. 1988;18:183–90. Yager RR. On ordered weighted averaging aggregation operators in multi- criteria decision making. IEEE Trans Syst Man Cybern. 1988;18:183–90.
64.
go back to reference Yager RR. The power average operator. IEEE Trans Syst Man Cybern-Part A: Syst Humans. 2001;31:724–31. Yager RR. The power average operator. IEEE Trans Syst Man Cybern-Part A: Syst Humans. 2001;31:724–31.
65.
go back to reference Ye J. Multicriteria fuzzy decision-making method using entropy weights-based correlation coefficients of interval-valued intuitionistic fuzzy sets. Appl Math Model. 2010;34:3864–70. Ye J. Multicriteria fuzzy decision-making method using entropy weights-based correlation coefficients of interval-valued intuitionistic fuzzy sets. Appl Math Model. 2010;34:3864–70.
66.
go back to reference Zadeh LA. Fuzzy set. Inf Control. 1965;8:338–53. Zadeh LA. Fuzzy set. Inf Control. 1965;8:338–53.
67.
go back to reference Zhai JH, Xu HY, Wang XZ. Dynamic ensemble extreme learning machine based on sample entropy. Soft Comput. 2012;16:1493–502. Zhai JH, Xu HY, Wang XZ. Dynamic ensemble extreme learning machine based on sample entropy. Soft Comput. 2012;16:1493–502.
68.
go back to reference Zhang ZM. Generalized Atanassov’s intuitionistic fuzzy power geometric operators and their application to multiple attribute group decision making. Information Fusion. 2013;14:460–86. Zhang ZM. Generalized Atanassov’s intuitionistic fuzzy power geometric operators and their application to multiple attribute group decision making. Information Fusion. 2013;14:460–86.
69.
go back to reference Zhang HY, Ji P, Wang JQ, Chen XH. A neutrosophic normal cloud and its application in decision-making. Cogn Comput. 2016;8:649–69. Zhang HY, Ji P, Wang JQ, Chen XH. A neutrosophic normal cloud and its application in decision-making. Cogn Comput. 2016;8:649–69.
70.
go back to reference Zhao H, Xu ZS, Ni MF, Liu SS. Generalized aggregation operators for intuitionistic fuzzy sets. Int J Intell Syst. 2010;25:1–30. Zhao H, Xu ZS, Ni MF, Liu SS. Generalized aggregation operators for intuitionistic fuzzy sets. Int J Intell Syst. 2010;25:1–30.
71.
go back to reference Zhu B, Xu ZS. Consistency measures for hesitant fuzzy linguistic preference relations. IEEE Trans Fuzzy Syst. 2014;22:35–45. Zhu B, Xu ZS. Consistency measures for hesitant fuzzy linguistic preference relations. IEEE Trans Fuzzy Syst. 2014;22:35–45.
72.
go back to reference Zhu B, Xu ZS. Analytic hierarchy process-hesitant group decision making. Eur J Oper Res. 2014;239:794–801. Zhu B, Xu ZS. Analytic hierarchy process-hesitant group decision making. Eur J Oper Res. 2014;239:794–801.
Metadata
Title
Extensions of Intuitionistic Fuzzy Geometric Interaction Operators and Their Application to Cognitive Microcredit Origination
Authors
Lin Zhang
Yingdong He
Publication date
04-07-2019
Publisher
Springer US
Published in
Cognitive Computation / Issue 5/2019
Print ISSN: 1866-9956
Electronic ISSN: 1866-9964
DOI
https://doi.org/10.1007/s12559-019-09659-7

Other articles of this Issue 5/2019

Cognitive Computation 5/2019 Go to the issue

Premium Partner