The Research on Relative Knowledge Distances and Their Cognitive Features

Kan-chao, Lian; Wang, Tao; Wang, Baoli; Wang, Min; Huang, Weihua; Yang, Jie

doi:10.1016/j.ijcce.2023.03.004

Cited by 4 publications

(1 citation statement)

References 23 publications

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“…Traditional fuzzy sets, for instance, merely take the measure of acceptance or membership into account, whereas IFS include both the measures of membership and non-membership into consideration along with a degree of hesitancy. Various new techniques have emerged in IFS in the past few decades for formulating new methodologies or helping in ranking, such as the score (see, e.g., [2]) and accuracy functions (see, e.g., [3]), knowledge distance (see, e.g., [4]), and various multi-criteria decision-making techniques see, e.g., [5]). These techniques have been helpful in reliability estimation.…”

Section: Introductionmentioning

confidence: 99%

Statistical Fuzzy Reliability Assessment of a Blended System

Chachra

Kumar

Ram

et al. 2023

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Fuzzy sets have been proven to constitute an asset in the evolution of reliability theory in recent decades. Their contribution in addressing the possibility of errors, insufficiency of data, randomness, or fuzziness, either in the system or in the accumulation of any data for the respective system, which is overlooked in the traditional reliability assessment, seems to be quite crucial. The present work deals with the statistical fuzzy reliability evaluation of a blended system that comprises two subsystems. One system contains two components aligned in a parallel configuration, and the other is a 3-out-of-5 system. The reliability of this model is assessed using two approaches to intuitionistic fuzzy sets (IFS), namely, traditional IFS and interval-valued intuitionistic fuzzy sets (IVIFS). Three cases are considered in each approach, which are compared individually as well as with each other. It was established that the IVIFS yield better results than the IFS. The obtained results are displayed in both tabular and graphical forms for better assessment.

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