In reliability optimization problems diverse situation occurs due to which it is not always possible to get relevant precision in system reliability. The imprecision in data can often be represented by triangular fuzzy numbers. In this manuscript, we have considered different fuzzy environment for reliability optimization problem of redundancy. We formulate a redundancy allocation problem for a...

Abstract This paper describes the research procedures adopted in developing a triangular fuzzy number scale based on semantic of MACBETH (Measuring Attractiveness by Categorical Based Evaluation Technique). The objective was to mathematically treat uncertainty and subjectivity linguistic variables used assess decision problem. A matrix initially obtained maker’s assessment given context analysi...

Abstract Introduction. This study aimed to determine the criteria for choice of nine different leading ski centers that serve actively in tourism sector Turkey, calculate weights, and measure performance these centers. Material methods. In this context, data were defuzzified using CFCS method, fuzzy DEMATEL method was used affecting Then, TOPSIS applied by weights obtained with method. Results....

In this article, a new fully fuzzy approach is developed for the evaluation based on distance from average solution (EDAS) multi-criteria decision-making (MCDM) using spherical sets (SFSs). The proposed avoids current limitations and drawbacks of distance-based methods in general EDAS method particular information namely, early defuzzification, flaws measures, undefined subtraction division ope...

Abstract Due to the complexity of deterioration process seafood products, relying on one indicator is not adequate determine quality such products. Usually, shelf-life was estimated based various indicators complicating decision-making process. Decision Support Systems are considered as a good solution. The current study aims establish simple and novel fuzzy model combination knowledge- data-dr...

Distributed computing system [DCS] offer the potential for improved performance and resource sharing. To make the best use of the computational power available it is essential to assign the tasks to that processor whose characteristics are most appropriate for the execution. In this paper we have investigated a tasks allocation problem with fuzzy execution times e i ,j and fuzzy inter tasks com...

In this study, we develop fuzzy adaptive tracking control via two-layer fuzzy observers, variable structure systems (VSS), and H∞ control algorithm for nonlinear systems with plant uncertainties, output delays, and external disturbances. The Takagi–Sugeno fuzzy dynamic model with adaptation capability is used to approximate the nonlinear system. When the system states are not available, the sta...

In this article we propose a method which tackles a problem where data is linguistic instead of real valued numbers. The proposed method starts with representing data as fuzzy numbers. Then generalized principle component analysis (PCA) is used, which can be used to reduce the data dimensionality and also to clear out some irregularitises from the data. After this, the data is defuzzified and t...