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RESEARCH PAPER
Statistical distributions and reliability functions with type-2 fuzzy parameters
 
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Department of Industrial Engineering TOBB University of Economics and Technology Sogutozu str., 06560 Ankara, Turkey
 
2
Department of Statistics Bartin University Kutlubey-Yazicilar campus, 74100 Bartin, Turkey
 
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Department of Statistics Gazi University Teknikokullar str., 06500 Ankara, Turkey
 
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Department of Economic Cybernetics Baku State University Khalilov str. 23, AZ 1148 Baku, Azerbaijan
 
 
Publication date: 2019-06-30
 
 
Eksploatacja i Niezawodność – Maintenance and Reliability 2019;21(2):268-274
 
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ABSTRACT
Type-2 fuzzy sets were initially given by Zadeh as an extension of type-1 fuzzy sets. There is a growing interest in type-2 fuzzy set and its memberships (named secondary memberships) to handle the uncertainty in type-1 fuzzy set and its primary membership values. However, arithmetical operators on type-2 fuzzy sets have computational complexity due to third dimension of these sets. In this study, we present some mathematical operators which can be easily applied to type-2 fuzzy sets and numbers. Also, mathematical functions of type-2 fuzzy numbers are given according to their monotonicity. These functions are adapted to reliability and distribution functions of the random variables with the type-2 fuzzy parameters. These functions are applied to Exponential, Chi-square, Weibull distributions with respect to monotonicity of the parameters of these distributions.
 
REFERENCES (11)
1.
Aisbett J, Rickard J T, Morgenthaler D. Multivariate modeling and type-2 fuzzy sets. Fuzzy Sets and Systems 2011; 163(1): 78–95, https://doi.org/10.1016/j.fss.....
 
2.
Blewitt W, Coupland S, Zhou S M. A novel approach to type-2 fuzzy addition. In 'Proc. FUZZ-IEEE 2007', London, 2007; 1456 – 1461, https://doi.org/10.1109/FUZZY.....
 
3.
Hamrawi H. Type-2 fuzzy alpha-cuts, PhD. Thesis. De Montfort University 2011.
 
4.
Kardan I, Akbarzadeh-T M R, Akbarzadeh K, Kalani H. Quasi type 2 fuzzy differential equations. Journal of Intelligent & Fuzzy Systems 2017; 32(1): 551–563, https://doi.org/10.3233/JIFS-1....
 
5.
Karnik N N, Mendel J M. Operations on type-2 fuzzy sets. Fuzzy Sets and Systems 2001; 122(2): 327–348, https://doi.org/10.1016/S0165-....
 
6.
Tao C W, Taur J S, Chang C W, Chang Y H. Simplified type-2 fuzzy sliding controller for wing rock system. Fuzzy Sets and Systems 2012; 207: 111–129, https://doi.org/10.1016/j.fss.....
 
7.
Türkşen I B. Type-2 representation and reasoning for CWW. Fuzzy Sets and Systems 2002; 127(1): 17–36, https://doi.org/10.1016/S0165-....
 
8.
Wagenknecht M, Hartmann K. Application of fuzzy sets of type-2 to the solution of fuzzy equations systems. Fuzzy Sets and Systems 1988; 25(2): 183–190, https://doi.org/10.1016/0165-0....
 
9.
Wu D, Mendel J. Uncertainty measures for interval type-2 fuzzy sets. Information Sciences 2007a; 177(23): 5378–5393, https://doi.org/10.1016/j.ins.....
 
10.
Wu D, Mendel J. Aggregation using the linguistic weighted average and interval type-2 fuzzy sets. IEEE Transactions on Fuzzy Systems 2007b; 15(6): 1145–1161, https://doi.org/10.1109/TFUZZ.....
 
11.
Zadeh L A. The concept of a linguistic variable and its applications in approximate reasoning (I). Information Sciences 1975; 8(3): 199–249, https://doi.org/10.1016/0020-0....
 
 
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eISSN:2956-3860
ISSN:1507-2711
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