Skip to main content
Erschienen in: Soft Computing 16/2020

28.01.2020 | Methodologies and Application

Quintuple Implication Principle on interval-valued intuitionistic fuzzy sets

verfasst von: Jianhua Jin, Mingfei Ye, Witold Pedrycz

Erschienen in: Soft Computing | Ausgabe 16/2020

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

This paper mainly aims to introduce Quintuple Implication Principle (QIP) on interval-valued intuitionistic fuzzy sets (IVIFSs). Firstly, some algebraic properties of a class of interval-valued intuitionistic triangular norms are discussed in detail. In particular, a unified expression of residual interval-valued intuitionistic fuzzy implications generated by left-continuous triangular norms is presented. Secondly, Triple Implication Principles (TIPs) of both interval-valued intuitionistic fuzzy modus ponens (IVIFMP) and fuzzy modus tollens (IVIFMT) based on residual interval-valued intuitionistic fuzzy implications are analyzed. It is shown that the TIP solution of IVIFMP is recoverable, and the TIP solution of IVIFMT is only weakly local recoverable. Moreover, it sees by an illustrated example that the TIP method sometimes makes the computed solutions for IVIFMP and IVIFMT meaningless or misleading. To avoid the above shortcoming and enhance the recovery property of TIP solution of IVIFMT, QIP and \(\alpha \)-QIP for IVIFMP and IVIFMT are investigated and the corresponding expressions of solutions of them are also given, respectively. In addition, the QIP methods for IVIFMP and IVIFMT are recoverable and sound. Finally, QIP solutions of IVIFMP for multiple fuzzy rules are provided. An application example for medical diagnosis is given to illustrate the feasibility and effectiveness of the QIP of IVIFMP.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

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 "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!

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!

Anhänge
Nur mit Berechtigung zugänglich
Literatur
Zurück zum Zitat Atanassov KH (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20:87–96MATH Atanassov KH (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20:87–96MATH
Zurück zum Zitat Atanassov KH (1994) Operators over interval valued intuitionistic fuzzy sets. Fuzzy Sets Syst 64(2):159–174MathSciNetMATH Atanassov KH (1994) Operators over interval valued intuitionistic fuzzy sets. Fuzzy Sets Syst 64(2):159–174MathSciNetMATH
Zurück zum Zitat Atanassov KH, Gargov G (1989) Interval valued intuitionistic fuzzy sets. Fuzzy Sets Syst 31(3):343–349MathSciNetMATH Atanassov KH, Gargov G (1989) Interval valued intuitionistic fuzzy sets. Fuzzy Sets Syst 31(3):343–349MathSciNetMATH
Zurück zum Zitat Chai JY, Liu JNK, Xu ZS (2013) A rule-based group decision model for warehouse evaluation under interval-valued Intuitionistic fuzzy environments. Expert Syst Appl 40:1959–1970 Chai JY, Liu JNK, Xu ZS (2013) A rule-based group decision model for warehouse evaluation under interval-valued Intuitionistic fuzzy environments. Expert Syst Appl 40:1959–1970
Zurück zum Zitat Chen SM, Chang CH (2015) A novel similarity measure between Atanassov’s intuitionistic fuzzy sets based on transformation techniques with applications to pattern recognition. Inf Sci 291:96–114 Chen SM, Chang CH (2015) A novel similarity measure between Atanassov’s intuitionistic fuzzy sets based on transformation techniques with applications to pattern recognition. Inf Sci 291:96–114
Zurück zum Zitat Chen F, Xu W, Bai C et al (2016) A novel approach to guarantee good robustness of fuzzy reasoning. Appl Soft Comput 41(C):224–234 Chen F, Xu W, Bai C et al (2016) A novel approach to guarantee good robustness of fuzzy reasoning. Appl Soft Comput 41(C):224–234
Zurück zum Zitat Cigdem K, Umut A, Seyda S, Umut A (2019) A new rule-based integrated decision making approach to container transshipment terminal selection. Marit Policy Manag 46(2):237–256 Cigdem K, Umut A, Seyda S, Umut A (2019) A new rule-based integrated decision making approach to container transshipment terminal selection. Marit Policy Manag 46(2):237–256
Zurück zum Zitat Cornelis C, Deschrijver G, Kerre EE (2004) Implication in intuitionistic fuzzy and interval-valued fuzzy set theory: construction, classification, application. Int J Approx Reason 35(1):55–95MathSciNetMATH Cornelis C, Deschrijver G, Kerre EE (2004) Implication in intuitionistic fuzzy and interval-valued fuzzy set theory: construction, classification, application. Int J Approx Reason 35(1):55–95MathSciNetMATH
Zurück zum Zitat De SK, Biswas R, Roy AR (2001) An application of intuitionistic fuzzy sets in medical diagnosis. Fuzzy Sets Syst 117(2):209–213MATH De SK, Biswas R, Roy AR (2001) An application of intuitionistic fuzzy sets in medical diagnosis. Fuzzy Sets Syst 117(2):209–213MATH
Zurück zum Zitat Deschrijver G, Cornelis C, Kerre EE (2003) Class of intuitionistic fuzzy t-norms satisfying the residuation principle. Int J Uncertain Knowl Based Syst 11(6):691–709MATH Deschrijver G, Cornelis C, Kerre EE (2003) Class of intuitionistic fuzzy t-norms satisfying the residuation principle. Int J Uncertain Knowl Based Syst 11(6):691–709MATH
Zurück zum Zitat Deschrijver G, Cornelis C, Kerre EE (2004) On the representation of intuitionistic fuzzy t-norms and t-conorms. IEEE Trans Fuzzy Syst 12(1):45–61MATH Deschrijver G, Cornelis C, Kerre EE (2004) On the representation of intuitionistic fuzzy t-norms and t-conorms. IEEE Trans Fuzzy Syst 12(1):45–61MATH
Zurück zum Zitat Dong YC, Liu YT, Liang HM, Chiclana F, Herrera-Viedma E (2018a) Strategic weight manipulation in multiple attribute decision making. Omega 75:154–164 Dong YC, Liu YT, Liang HM, Chiclana F, Herrera-Viedma E (2018a) Strategic weight manipulation in multiple attribute decision making. Omega 75:154–164
Zurück zum Zitat Dong YC, Zhao SH, Zhang HJ, Chiclana F, Herrera-Viedma E (2018b) A self-management mechanism for non-cooperative behaviors in large-scale group consensus reaching processes. IEEE Trans Fuzzy Syst 26:3276–3288 Dong YC, Zhao SH, Zhang HJ, Chiclana F, Herrera-Viedma E (2018b) A self-management mechanism for non-cooperative behaviors in large-scale group consensus reaching processes. IEEE Trans Fuzzy Syst 26:3276–3288
Zurück zum Zitat Dubois D, Prade H (2012) Gradualness, uncertainty and bipolarity: making sense of fuzzy sets. Fuzzy Sets Syst 192(3):3–24MathSciNetMATH Dubois D, Prade H (2012) Gradualness, uncertainty and bipolarity: making sense of fuzzy sets. Fuzzy Sets Syst 192(3):3–24MathSciNetMATH
Zurück zum Zitat Filho FGDA, Maitelli AL (2017) A neuro-fuzzy control scheme for the electrical submersible pumping in oilfield systems. IEEE Latin Am Trans 15(11):2077–2083 Filho FGDA, Maitelli AL (2017) A neuro-fuzzy control scheme for the electrical submersible pumping in oilfield systems. IEEE Latin Am Trans 15(11):2077–2083
Zurück zum Zitat Franco C, Montero J, Rodriguez JT (2013) A fuzzy and bipolar approach to preference modeling with application to need and desire. Fuzzy Sets Syst 214(1):20–34MathSciNet Franco C, Montero J, Rodriguez JT (2013) A fuzzy and bipolar approach to preference modeling with application to need and desire. Fuzzy Sets Syst 214(1):20–34MathSciNet
Zurück zum Zitat Gottwald S (2000) Generalized solvability behaviour for systems of fuzzy equations. Discovering the world with fuzzy logic. Physica-Verlag Gmb H, Heidelberg, pp 401–430MATH Gottwald S (2000) Generalized solvability behaviour for systems of fuzzy equations. Discovering the world with fuzzy logic. Physica-Verlag Gmb H, Heidelberg, pp 401–430MATH
Zurück zum Zitat Gupta P, Tiwari P (2016) Measures of cosine similarity intended for fuzzy sets, intuitionistic and interval-valued intuitionistic fuzzy sets with application in medical diagnoses. In: International conference on computing for sustainable global development. IEEE Gupta P, Tiwari P (2016) Measures of cosine similarity intended for fuzzy sets, intuitionistic and interval-valued intuitionistic fuzzy sets with application in medical diagnoses. In: International conference on computing for sustainable global development. IEEE
Zurück zum Zitat Iancu I (2012) A Mamdani type fuzzy logic controller, fuzzy logic-controls, concepts, theories and applications. InTech Iancu I (2012) A Mamdani type fuzzy logic controller, fuzzy logic-controls, concepts, theories and applications. InTech
Zurück zum Zitat Jenei S (1997) A more efficient method for defining fuzzy connectives. Fuzzy Sets Syst 90(1):25–35MathSciNetMATH Jenei S (1997) A more efficient method for defining fuzzy connectives. Fuzzy Sets Syst 90(1):25–35MathSciNetMATH
Zurück zum Zitat Klement EP, Mesiar R, Pap E (2000) Triangular norms. Kluwer Academic Publishers, DordrechtMATH Klement EP, Mesiar R, Pap E (2000) Triangular norms. Kluwer Academic Publishers, DordrechtMATH
Zurück zum Zitat Lee CC (1990) Fuzzy logic in control systems: fuzzy logic controller. IEEE Trans Syst Man Cybern Syst 20(2):405–435MathSciNet Lee CC (1990) Fuzzy logic in control systems: fuzzy logic controller. IEEE Trans Syst Man Cybern Syst 20(2):405–435MathSciNet
Zurück zum Zitat Li DC, Li YM (2011) Robustness of interval-valued fuzzy inference. Inf Sci 181(20):4754–4764MathSciNetMATH Li DC, Li YM (2011) Robustness of interval-valued fuzzy inference. Inf Sci 181(20):4754–4764MathSciNetMATH
Zurück zum Zitat Li DC, Qin SJ (2018a) Performance analysis of fuzzy systems based on quintuple implications method. Int J Approx Reason 96:20–35MathSciNetMATH Li DC, Qin SJ (2018a) Performance analysis of fuzzy systems based on quintuple implications method. Int J Approx Reason 96:20–35MathSciNetMATH
Zurück zum Zitat Li DC, Qin SJ (2018b) The quintuple implication principle of fuzzy reasoning based on interval-valued S-implication. J Log Algebraic Methods Program 100:185–194MathSciNetMATH Li DC, Qin SJ (2018b) The quintuple implication principle of fuzzy reasoning based on interval-valued S-implication. J Log Algebraic Methods Program 100:185–194MathSciNetMATH
Zurück zum Zitat Li DC, Zhu M (2019) Interval-valued fuzzy inference based on aggregation functions. Int J Approx Reason 113:74–90MathSciNetMATH Li DC, Zhu M (2019) Interval-valued fuzzy inference based on aggregation functions. Int J Approx Reason 113:74–90MathSciNetMATH
Zurück zum Zitat Liu HW, Wang GJ (2006) A note on the unified forms of triple I method. Comput Math Appl 52(10):1609–1613MathSciNetMATH Liu HW, Wang GJ (2006) A note on the unified forms of triple I method. Comput Math Appl 52(10):1609–1613MathSciNetMATH
Zurück zum Zitat Liu HW, Wang GJ (2007) Unified forms of fully implicational restriction methods for fuzzy reasoning. Inf Sci 177(3):956–966MathSciNetMATH Liu HW, Wang GJ (2007) Unified forms of fully implicational restriction methods for fuzzy reasoning. Inf Sci 177(3):956–966MathSciNetMATH
Zurück zum Zitat Liu HW, Wang GJ (2008) Triple I method based on pointwise sustaining degrees. Comput Math Appl 55(11):2680–2688MathSciNetMATH Liu HW, Wang GJ (2008) Triple I method based on pointwise sustaining degrees. Comput Math Appl 55(11):2680–2688MathSciNetMATH
Zurück zum Zitat Liu Y, Zheng MC (2014) The dual triple I methods of FMT and IFMT. Math Probl Eng 2014(3):1–8MathSciNetMATH Liu Y, Zheng MC (2014) The dual triple I methods of FMT and IFMT. Math Probl Eng 2014(3):1–8MathSciNetMATH
Zurück zum Zitat Liu YT, Dong YC, Liang HM, Chiclana F, Herrera-Viedma E (2018) Multiple attribute strategic weight manipulation with minimum cost in a group decision making context with interval attribute weights information. IEEE Trans Syst Man Cybern Syst 1–12 Liu YT, Dong YC, Liang HM, Chiclana F, Herrera-Viedma E (2018) Multiple attribute strategic weight manipulation with minimum cost in a group decision making context with interval attribute weights information. IEEE Trans Syst Man Cybern Syst 1–12
Zurück zum Zitat Liu HC, You JX, Duan CY (2019) An integrated approach for failure mode and effect analysis under interval-valued intuitionistic fuzzy environment. Int J Prod Econ 207:163–172 Liu HC, You JX, Duan CY (2019) An integrated approach for failure mode and effect analysis under interval-valued intuitionistic fuzzy environment. Int J Prod Econ 207:163–172
Zurück zum Zitat López V, Río SD, Benítez JM, Herrera F (2015) Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data. Fuzzy Sets Syst 258:5–38MathSciNet López V, Río SD, Benítez JM, Herrera F (2015) Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data. Fuzzy Sets Syst 258:5–38MathSciNet
Zurück zum Zitat Luo MX, Yao N (2013) Triple I algorithms based on Schweizer–Sklar operators in fuzzy reasoning. Int J Approx Reason 54(5):640–652MathSciNetMATH Luo MX, Yao N (2013) Triple I algorithms based on Schweizer–Sklar operators in fuzzy reasoning. Int J Approx Reason 54(5):640–652MathSciNetMATH
Zurück zum Zitat Luo MX, Zhang K (2015) Robustness of full implication algorithms based on interval-valued fuzzy inference. Int J Approx Reason 62:61–72MathSciNetMATH Luo MX, Zhang K (2015) Robustness of full implication algorithms based on interval-valued fuzzy inference. Int J Approx Reason 62:61–72MathSciNetMATH
Zurück zum Zitat Luo MX, Zhou XL (2015) Robustness of reverse triple I algorithms based on interval-valued fuzzy inference. Int J Approx Reason 66:16–26MathSciNetMATH Luo MX, Zhou XL (2015) Robustness of reverse triple I algorithms based on interval-valued fuzzy inference. Int J Approx Reason 66:16–26MathSciNetMATH
Zurück zum Zitat Luo MX, Zhou XL (2017) Interval-valued quintuple implication principle of fuzzy reasoning. Int J Approx Reason 84:23–32MathSciNetMATH Luo MX, Zhou XL (2017) Interval-valued quintuple implication principle of fuzzy reasoning. Int J Approx Reason 84:23–32MathSciNetMATH
Zurück zum Zitat Luo MX, Zhou KY (2018) Logical foundation of the quintuple implication inference methods. Int J Approx Reason 101:1–9MathSciNetMATH Luo MX, Zhou KY (2018) Logical foundation of the quintuple implication inference methods. Int J Approx Reason 101:1–9MathSciNetMATH
Zurück zum Zitat Mamdani EH, Gaines BR (1981) Fuzzy Reason Appl. Academic Press, London Mamdani EH, Gaines BR (1981) Fuzzy Reason Appl. Academic Press, London
Zurück zum Zitat Meng FY, Chen XH (2016) Entropy and similarity measure for Atannasov’s interval-valued intuitionistic fuzzy sets and their application. Fuzzy Optim Decis Mak 15(1):75–101MathSciNetMATH Meng FY, Chen XH (2016) Entropy and similarity measure for Atannasov’s interval-valued intuitionistic fuzzy sets and their application. Fuzzy Optim Decis Mak 15(1):75–101MathSciNetMATH
Zurück zum Zitat Negnevitsky M (2005) Artificial intelligence: a guide to intelligent systems, Second edn. Person Education Limited, London Negnevitsky M (2005) Artificial intelligence: a guide to intelligent systems, Second edn. Person Education Limited, London
Zurück zum Zitat Pei DW (2004) On the strict logic foundation of fuzzy reasoning. Soft Comput 8(8):539–545MATH Pei DW (2004) On the strict logic foundation of fuzzy reasoning. Soft Comput 8(8):539–545MATH
Zurück zum Zitat Pei DW (2008) Unified full implication algorithms of fuzzy reasoning. Inf Sci 178(2):520–530MathSciNetMATH Pei DW (2008) Unified full implication algorithms of fuzzy reasoning. Inf Sci 178(2):520–530MathSciNetMATH
Zurück zum Zitat Pei DW (2012) Formalization of implication based fuzzy reasoning method. Int J Approx Reason 53(5):837–846MathSciNetMATH Pei DW (2012) Formalization of implication based fuzzy reasoning method. Int J Approx Reason 53(5):837–846MathSciNetMATH
Zurück zum Zitat Ray KS (2014) Soft computing and its applications, volume two: fuzzy reasoning and fuzzy control. Apple Acad Press 8(4):239–246 Ray KS (2014) Soft computing and its applications, volume two: fuzzy reasoning and fuzzy control. Apple Acad Press 8(4):239–246
Zurück zum Zitat Reiser RHS, Bedregal B (2013) Interval-valued intuitionistic fuzzy implications—construction, properties and representability. Inf Sci 248(6):68–88MathSciNetMATH Reiser RHS, Bedregal B (2013) Interval-valued intuitionistic fuzzy implications—construction, properties and representability. Inf Sci 248(6):68–88MathSciNetMATH
Zurück zum Zitat Sanz JA, Fernández A, Bustince H, Herrera F (2010) Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning. Inf Sci 180:3674–3685 Sanz JA, Fernández A, Bustince H, Herrera F (2010) Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning. Inf Sci 180:3674–3685
Zurück zum Zitat Song SJ, Wu C (2002) Reverse triple I method of fuzzy reasoning. Sci China Ser F 45(5):344–364MathSciNetMATH Song SJ, Wu C (2002) Reverse triple I method of fuzzy reasoning. Sci China Ser F 45(5):344–364MathSciNetMATH
Zurück zum Zitat Srishti V, Seba S (2019) Fuzzy rule based unsupervised sentiment analysis from social media posts. Expert Syst Appl 138:112834 Srishti V, Seba S (2019) Fuzzy rule based unsupervised sentiment analysis from social media posts. Expert Syst Appl 138:112834
Zurück zum Zitat Tamir DE, Rishe ND, Kandel A (eds) (2015) Fifty years of fuzzy logic and its applications. Springer, BaselMATH Tamir DE, Rishe ND, Kandel A (eds) (2015) Fifty years of fuzzy logic and its applications. Springer, BaselMATH
Zurück zum Zitat Tang YM, Pedrycz W (2018) On the \(\alpha (u, v)\)-symmetric implicational method for R- and (S, N)-implications. Int J Approx Reason 92:212–231MathSciNetMATH Tang YM, Pedrycz W (2018) On the \(\alpha (u, v)\)-symmetric implicational method for R- and (S, N)-implications. Int J Approx Reason 92:212–231MathSciNetMATH
Zurück zum Zitat Tang YM, Yang XZ (2013) Symmetric implicational method of fuzzy reasoning. Int J Approx Reason 54(8):1034–1048MathSciNetMATH Tang YM, Yang XZ (2013) Symmetric implicational method of fuzzy reasoning. Int J Approx Reason 54(8):1034–1048MathSciNetMATH
Zurück zum Zitat Vo TP (2016) Optimizing the CRI method by improving the implication step in MISO fuzzy expert systems. In: AETA 2015: recent advances in electrical engineering and related sciences. Springer Vo TP (2016) Optimizing the CRI method by improving the implication step in MISO fuzzy expert systems. In: AETA 2015: recent advances in electrical engineering and related sciences. Springer
Zurück zum Zitat Wang LX (1997) A course in fuzzy systems and control. Prentice Hall PTR, Upper Saddle RiverMATH Wang LX (1997) A course in fuzzy systems and control. Prentice Hall PTR, Upper Saddle RiverMATH
Zurück zum Zitat Wang GJ (1999a) Full implicational triple I method for fuzzy reasoning. Sci China Ser E 29(1):43–53 Wang GJ (1999a) Full implicational triple I method for fuzzy reasoning. Sci China Ser E 29(1):43–53
Zurück zum Zitat Wang GJ (2008) Non-classical mathematical logic and approximate reasoning, 2nd edn. Science Press, Beijing Wang GJ (2008) Non-classical mathematical logic and approximate reasoning, 2nd edn. Science Press, Beijing
Zurück zum Zitat Wang CY, Chen SM (2018) A new multiple attribute decision making method based on linear programming methodology and novel score function and novel accuracy function of interval-valued intuitionistic fuzzy values. Inf Sci 438:145–155MathSciNet Wang CY, Chen SM (2018) A new multiple attribute decision making method based on linear programming methodology and novel score function and novel accuracy function of interval-valued intuitionistic fuzzy values. Inf Sci 438:145–155MathSciNet
Zurück zum Zitat Xu ZS (2007) Methods for aggregating interval-valued intuitionistic fuzzy information and their application to decision making. Control Decis 22(2):215–219 (in chinese)MathSciNet Xu ZS (2007) Methods for aggregating interval-valued intuitionistic fuzzy information and their application to decision making. Control Decis 22(2):215–219 (in chinese)MathSciNet
Zurück zum Zitat Yang ZL, Bonsall S, Wang J (2008) Fuzzy rule-based Bayesian reasoning approach for prioritization of failures in FMEA. IEEE Trans Reliab 57(3):517–528 Yang ZL, Bonsall S, Wang J (2008) Fuzzy rule-based Bayesian reasoning approach for prioritization of failures in FMEA. IEEE Trans Reliab 57(3):517–528
Zurück zum Zitat Yen J, Langari R, Zadeh LA (1995) Industrial applications of fuzzy logic and intelligent systems. IEEE Press, PiscatawayMATH Yen J, Langari R, Zadeh LA (1995) Industrial applications of fuzzy logic and intelligent systems. IEEE Press, PiscatawayMATH
Zurück zum Zitat Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353MATH Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353MATH
Zurück zum Zitat Zadeh LA (1973) Outline of a new approach to the analysis of complex systems and decision processes. IEEE Trans Syst Man Cybern Syst 3(1):28–44MathSciNetMATH Zadeh LA (1973) Outline of a new approach to the analysis of complex systems and decision processes. IEEE Trans Syst Man Cybern Syst 3(1):28–44MathSciNetMATH
Zurück zum Zitat Zheng MC, Liu Y (2019) Multiple-rules reasoning based on Triple I method on Atanassov’s intuitionistic fuzzy sets. Int J Approx Reason 113:196–206MathSciNetMATH Zheng MC, Liu Y (2019) Multiple-rules reasoning based on Triple I method on Atanassov’s intuitionistic fuzzy sets. Int J Approx Reason 113:196–206MathSciNetMATH
Zurück zum Zitat Zheng MC, Wang GJ (2005) Co-residuated lattice with application. Fuzzy Syst Math 19(4):1–6 (in Chinese) MathSciNet Zheng MC, Wang GJ (2005) Co-residuated lattice with application. Fuzzy Syst Math 19(4):1–6 (in Chinese) MathSciNet
Zurück zum Zitat Zheng MC, Shi ZK, Liu Y (2014) Triple I method of approximate reasoning on Atanassov’s intuitionistic fuzzy sets. Int J Approx Reason 55(6):1369–1382MathSciNetMATH Zheng MC, Shi ZK, Liu Y (2014) Triple I method of approximate reasoning on Atanassov’s intuitionistic fuzzy sets. Int J Approx Reason 55(6):1369–1382MathSciNetMATH
Zurück zum Zitat Zhou BK, Xu GQ, Li SJ (2015) The quintuple implication principle of fuzzy reasoning. Inf Sci 297:202–215MathSciNetMATH Zhou BK, Xu GQ, Li SJ (2015) The quintuple implication principle of fuzzy reasoning. Inf Sci 297:202–215MathSciNetMATH
Metadaten
Titel
Quintuple Implication Principle on interval-valued intuitionistic fuzzy sets
verfasst von
Jianhua Jin
Mingfei Ye
Witold Pedrycz
Publikationsdatum
28.01.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 16/2020
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-019-04649-1

Weitere Artikel der Ausgabe 16/2020

Soft Computing 16/2020 Zur Ausgabe

Methodologies and Application

UAV tracking based on saliency detection