Swipe to navigate through the articles of this issue
Communicated by V. Loia.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
In engineering and social science fields such as sociology and psychology while treating the uncertainties of triangular and trapezoidal fuzzy numbers are not applicable and fuzzy numbers with more parameters and clear definitions of their arithmetic operations are needed. In order to fill this gap in the literature, in this paper we propose the new fuzzy arithmetic operations based on transmission average on pseudo-octagonal fuzzy numbers, which was already implied in Abbsi et al. (J Intell Fuzzy Syst 29:851–861, 2015) in its rudimentary form and was finally presented in its fully fledged form in Abbsi et al. (J Fuzzy Set Valued Anal 2:1–18, 2016). The properties of these propose operations and their fundamental qualities are discussed. Several illustrative examples were given to show the accomplishment and ability of the proposed method. We present a new method for fuzzy system reliability analysis based on the fuzzy arithmetic operations of transmission average, where the reliabilities of the components of a system are represented by pseudo-octagonal fuzzy numbers defined in the universe of discourse [0, 1]. The proposed method has the advantages of modeling and analyzing fuzzy system reliability in a more flexible and more intelligent manner. Finally, dissatisfaction of a vice training and further education of arbitrary university with two faculties is considered in fuzzy environment.
Please log in to get access to this content
To get access to this content you need the following product:
Abbasi F, Abbasbandy S, Nieto JJ (2016) A new and efficient method for elementary fuzzy arithmetic operations on pseudo-geometric fuzzy numbers. J Fuzzy Set Valued Anal 2:1–18 MATH
Chen SM (2003) Analyzing fuzzy system reliability using vague set theory. Int J Appl Sci Eng 1:82–88
Cheng CH, Mon DL (1993) Fuzzy system reliability analysis by interval of confidence. Fuzzy Sets Syst 56:29–35 CrossRef
Fullór R (1998) Fuzzy reasoning and fuzzy optimization. Eötvös Lort’and University, Budapest
Ye F, Lin Q (2013) Partner selection in a virtual enterprise: a group multiattribute decision model with weighted possibilistic mean values. Math Probl Eng. https://doi.org/10.1155/2013/519629
Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning-Part I, II, III. Inf Sci, Part I: 8:199–249; Part II: 8:301–357; Part III: 9:43–80
Zhang XH, Xu XH, Tao L (2013) Some similarity measures for triangular fuzzy numbers and their applications in multiple criteria groups decision making. J Appl Math. https://doi.org/10.1155/2013/538261
- New operations on pseudo-octagonal fuzzy numbers and its application
- Publication date
- Springer Berlin Heidelberg
Neuer Inhalt/© ITandMEDIA