Journals / Anadolu Bil Meslek Yüksekokulu Dergisi / 2026 / Sayı: 15

Fuzzy Information

Bulanık Enformasyon

İsmail Tok(İstanbul Aydın Üniversitesi, Fen-Edebiyat Fakültesi, Matematik-Bilgisayar Bölümü İstanbul-Türkiye.)
Pages
45–50
Publication Date
2009-07-01
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In this work firstly, we investigate some basic properties of the fuzzy probability space without into details and all proofs.After that,we give the definition of the uncertainty and fuzzy information.Finally,we prove some properties of the fuzzy information

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this work firstly, we investigate some basic properties of the fuzzy probability space without into details and all proofs.After that,we give the definition of the uncertainty and fuzzy information.Finally,we prove some properties of the fuzzy information
📊
Key Findings & Data:In this work firstly, we investigate some basic properties of the fuzzy probability space without into details and all proofs.After that,we give the definition of the uncertainty and fuzzy information.Finally,we prove some properties of the fuzzy information
💡
Conclusion & Impact:In this work firstly, we investigate some basic properties of the fuzzy probability space without into details and all proofs.After that,we give the definition of the uncertainty and fuzzy information.Finally,we prove some properties of the fuzzy information
🔬Design:Makale
📍Scope:Comprehensive Sample
⚙️Variables:Bulanık küme · bulanık olasılık uzayı · kararsızlık

Abstract

In this work firstly, we investigate some basic properties of the fuzzy probability space without into details and all proofs.After that,we give the definition of the uncertainty and fuzzy information.Finally,we prove some properties of the fuzzy information

Özet

Bu çalışmada ilk olarak, bulanık olasılık uzayının bazı temel özellikleri detaya ve ispatlara girilmeksizin incelenmektedir. Daha sonra, kararsızlık ve bulanık enformasyon tanımları veriliyor. Son olarak da, bulanık enformasyonun bazı özellikler ispatlanıyor

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Cite This Article

Tok, İ. (2009). Fuzzy Information. Anadolu Bil Meslek Yüksekokulu Dergisi, Sayı: 15, 45–50. https://ajindex.com/articles/1580138

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References (15)

  1. Ash,R., B.,(1965).Information Theory, Interscience, New York.
  2. Bezdek, J., C.,(1985).Analysis of Information, CRC Pres Boca Raton Fla.
  3. Billingsley, P., (1965). Ergodic Theory and Information, Jonh Wiley, New York.
  4. Dimitrov, V.,,(1983). Group Choice Under Fuzzy Information, Fuzzy Sets and Syst., 39.
  5. Dubois-a, D. ve Prade, H., (1980).Fuzzy Sets and Systems Theory and Applications,
  6. Academic Pres New York. Dubois-b, D. ve Prade, H., (1987). Properties of Measures of Information in Evidence and Possibility Theories,Fuzzy Sets and Syst., 24 161-182.
  7. Klir, G. J. Ve Folger, T. D.,(1988). Fuzzy Sets Uncertainty and Information,Pratice Hall,New Jersey.
  8. Tok-a, İ.,,(1985).Fuzzy Measure Space, E. U. J. Sci. Fac. Series A, Vol. VIII,No.1 100.
  9. Tok-b, İ., (1986).On the Fuzzy Information Function, Doğa J. Math. 10 No.2,312-318.
  10. Zadeh-a,L. A., (1965). Fuzzy sets,Information and Control,8 338-353.
  11. Zadeh-b,L. A., (1968). Probability Measures of Fuzzy Events, J. Math. Anal. Appl.,23 427.
  12. Zadeh-c,L. A., (1979).Fuzzy Sets and Information Granularity, In. Gupta Ragade and Yager, 3-18.
  13. Zimmermann, H., J.,(1985).Fuzzy Set Theory and Its Applications,KluwerNijhoff, Boston.
  14. Dimitrov, V.,,(1983). Group Choice Under Fuzzy Information, Fuzzy Sets and Syst., 39.
  15. Tok-a, İ.,,(1985).Fuzzy Measure Space, E. U. J. Sci. Fac. Series A, Vol. VIII,No.1 100.