Aralık Tip II Genelleştirilmiş Çan Şekilli Bulanık Sayının Aralık Yakınsaması

Loading...
Publication Logo

Date

2019

Authors

SİNEM PEKER
Efendi NASİBOV

Journal Title

Journal ISSN

Volume Title

Publisher

Open Access Color

GOLD

Green Open Access

Yes

OpenAIRE Downloads

20

OpenAIRE Views

44

Publicly Funded

No
Impulse
Average
Influence
Average
Popularity
Average

Research Projects

Journal Issue

Abstract

Üyelik derecelerinin bulanık olduğu durumlarda Tip II bulanık sayıları kullanılır. Ancak bu sayılar bazı yöntemlerde uygulanamayabilir ve bunların yakınsamaları oluşturulmak istenebilir. Bu çalışmada aralık Tip II genelleştirilmiş çan şekilli bulanık sayısının aralık yaklaşımı dikkate alınmış ve özel bir hal için aralığın bilinmeyen parametrelerinin formülleri bulunmuştur.

Description

Keywords

Matematik, Engineering, Çan Şekilli Üyelik Fonksiyonu, Interval, Tip I Bulanık Sayı, Mühendislik, Tip II bulanık sayısı;tip I bulanık sayı;aralık;çan şekilli üyelik fonksiyonu, Tip II Bulanık Sayısı, Bell Shaped Membership Function, Aralık, Type II Fuzzy Number, Type I Fuzzy Number

Fields of Science

0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

Abbasbandy S. and Hajjari T. 2010. Weighted trapezoidal approximation-preserving cores of a fuzzy number Comput. Math. Appl. 59 3066–3077 \r\n \r\nBan A.I. Brândaş A. Coroianu L. Negrutiu C. Nica O 2011. Approximations of fuzzy numbers by trapezoidal fuzzy numbers preserving the ambiguity and value Comput. Math. Appl. 61 1379–1401. \r\n \r\nBan A.I. and Coroianu L. 2012. Nearest interval triangular and trapezoidal approximation of a fuzzy number preserving ambiguity Int. J. Approx. Reason. 53 805–836. \r\n \r\nCano Y.C. Flores H.R. Gomide F. 2008. A new type of approximation for fuzzy intervals. Fuzzy Sets and Systems 159 1376-1383. \r\n \r\nChanas S. 2001. On the interval approximation of a fuzzy number. Fuzzy Sets and Systems 122 353-356. \r\n \r\nChu T.C. and Lin Y.C.. 2009. An interval arithmetic based fuzzy TOPSIS model. Expert Systems with Applications 36 10870-10876. \r\n \r\nCoroianu L. Gal S.G. Bede B. 2014. Approximation of fuzzy numbers by Bernstein operators of max-product kind Fuzzy Sets Systems 257 41–66. \r\n \r\nCoroianu L. Stefanini L. 2016. General approximation of fuzzy numbers by F-transform. Fuzzy Sets and Systems 288 46-74. \r\n \r\nGreenfield S. and Chiclana F. 2018. Type-Reduced Set structure and the truncated type-2 fuzzy set. Fuzzy Sets and Systems 352 119-141. \r\n \r\nGrzegorzewski P. 2002. Nearest interval approximation of a fuzzy number. Fuzzy Sets and Systems 130 321330. \r\n \r\nNasibov E.N. and Peker S 2008. On the nearest parametric approximation of a fuzzy number. Fuzzy Sets and Systems 159 1365-1375. \r\n \r\nSanchez M.A. Castillo 0. and Castro J.R. 2015. Generalized Type-2 Fuzzy Systems for controlling a mobile robot and a performance comparison with Interval Type-2 and Type-1 Fuzzy Systems. Expert Systems with Applications 42 50904-50914. \r\n \r\nYeh C.T. 2011. Weighted semi-trapezoidal approximations of fuzzy numbers Fuzzy Sets Systems 165 61–80. \r\n \r\nYeh C.T. and Chu H.M. 2014. Approximations by LR-type fuzzy numbers. Fuzzy Sets and Systems 257 23-40. \r\n \r\nZhao X.R. and Hu B.O. 2015. Fuzzy and interval-valued fuzzy decision-theoretic rough set approaches based on fuzzy probability measure. Information Sciences 298 534-554.

WoS Q

Scopus Q

OpenCitations Logo
OpenCitations Citation Count
N/A

Source

Afyon Kocatepe University Journal of Sciences and Engineering

Volume

19

Issue

3

Start Page

595

End Page

600
Google Scholar Logo
Google Scholar™
OpenAlex Logo
OpenAlex FWCI
0.0

Sustainable Development Goals