Skip to main content

2022 | OriginalPaper | Buchkapitel

5. Fuzzy Reasoning Method for Comprehensive Evaluation

verfasst von : Shaopei Lin

Erschienen in: Fuzzy-AI Model and Big Data Exploration

Verlag: Springer Berlin Heidelberg

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

search-config
loading …

Abstract

To explore the internal law of objective events is the ultimate purpose of the human being for understanding the outside world. Toward this end, comprehensive evaluation through fuzzy reasoning is a generalized approach for achieving our goal with constraint compatibility, such as certain code restrictions in engineering practice. The structural type selection example shows the internal law of design philosophy for alternative choice; lastly, the classification of intelligent residential zone shows the fuzzy reasoning method can extend its areas of solvability to such generalized social events.

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 "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!

Literatur
1.
Zurück zum Zitat Lin, S., & Huang, Z. (2016). Comparative design of structures. SJTU & Springer Press. Lin, S., & Huang, Z. (2016). Comparative design of structures. SJTU & Springer Press.
2.
Zurück zum Zitat Lin, S., & Zhang, W. (2011). Decision traps and fuzzy quantitative risk management of overseas projects. Journal of Civil Engineering Innovation , 5(1), 29–40. Lin, S., & Zhang, W. (2011). Decision traps and fuzzy quantitative risk management of overseas projects. Journal of Civil Engineering Innovation , 5(1), 29–40.
3.
Zurück zum Zitat Lin, S. (2008). Fuzzy-AI Model for managerial science. Keynote speech, PMI World Research Conference, Warsaw, Poland, July, 2008. Lin, S. (2008). Fuzzy-AI Model for managerial science. Keynote speech, PMI World Research Conference, Warsaw, Poland, July, 2008.
4.
Zurück zum Zitat The Earthquake Regulations. (1988). Uniform Building Code, U.S.A. The Earthquake Regulations. (1988). Uniform Building Code, U.S.A.
5.
Zurück zum Zitat Wang, G. (1992). Theory of soft design in engineering. Science Press. (in Chinese ) Wang, G. (1992). Theory of soft design in engineering. Science Press. (in Chinese )
6.
Zurück zum Zitat Xu, F., & Lin, S. (2014). Economic risk assessment of high speed train project based on Fuzzy-AI Model. Journal of Project Management Technique, 12(6). (in Chinese) Xu, F., & Lin, S. (2014). Economic risk assessment of high speed train project based on Fuzzy-AI Model. Journal of Project Management Technique, 12(6). (in Chinese)
7.
Zurück zum Zitat Ross, T. J. (1995). Fuzzy logic with engineering applications. McGraw Hills Inc. Ross, T. J. (1995). Fuzzy logic with engineering applications. McGraw Hills Inc.
8.
Zurück zum Zitat Miles, J. C., & Moore, C. J. (1994). Practical KBS in conceptual design, p. 240. Springer. Miles, J. C., & Moore, C. J. (1994). Practical KBS in conceptual design, p. 240. Springer.
9.
Zurück zum Zitat Saaty, L. (1980). The analytic hierarchy process. McGraw-Hill. Saaty, L. (1980). The analytic hierarchy process. McGraw-Hill.
11.
Zurück zum Zitat Lin, S., & Yongwen, W. (2003). Fuzzy classification and evaluation of intelligent residential zone. Journal of Intelligent Building. (in Chinese) Lin, S., & Yongwen, W. (2003). Fuzzy classification and evaluation of intelligent residential zone. Journal of Intelligent Building. (in Chinese)
12.
Zurück zum Zitat Dong, W., & Shah, H. C. (1987). Vertexes method for computing functions of fuzzy variables. Fuzzy Sets and System, 24, 65–78. Dong, W., & Shah, H. C. (1987). Vertexes method for computing functions of fuzzy variables. Fuzzy Sets and System, 24, 65–78.
13.
Zurück zum Zitat Lin, S. (1990). On earthquake eccentric sensitivity behavior of structures taking uncertainties into consideration. Tech. Report (II), under contract NCEER-88-1006, Cornell University. Lin, S. (1990). On earthquake eccentric sensitivity behavior of structures taking uncertainties into consideration. Tech. Report (II), under contract NCEER-88-1006, Cornell University.
14.
Zurück zum Zitat Lin, S. (1990). Fuzzy reasoning method—Its theoretical adaptability and code compatibility to design of earthquake resistant structures. Tech. Report (I), under contract NCEER-88-1006, Cornell University. Lin, S. (1990). Fuzzy reasoning method—Its theoretical adaptability and code compatibility to design of earthquake resistant structures. Tech. Report (I), under contract NCEER-88-1006, Cornell University.
Metadaten
Titel
Fuzzy Reasoning Method for Comprehensive Evaluation
verfasst von
Shaopei Lin
Copyright-Jahr
2022
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-662-56339-7_5

Premium Partner