Fuzzy Optimization and Modeling Journal
http://fomj.qaemiau.ac.ir/
Fuzzy Optimization and Modeling Journalendaily1Sun, 01 Nov 2020 00:00:00 +0330Sun, 01 Nov 2020 00:00:00 +0330Ishita Approach to Construct an Intuitionistic Fuzzy Linear Regression Model
http://fomj.qaemiau.ac.ir/article_678780.html
To the best of our knowledge, there is only two approaches for constructing an intuitionistic fuzzy linear regression model (regression model in which all the variables and coefficients are considered as intuitionistic triangular fuzzy numbers). However, after a deep study, some mathematical incorrect assumptions have been considered in these approaches. Therefore, it is scientifically incorrect to use these approaches for general real-life data. Keeping the same in mind, in this paper, a new approach (named as Ishita approach) is proposed to construct an intuitionistic fuzzy linear regression model. The proposed approach overcomes the limitations of the existing approaches. It is fit for positive, negative or mixed of positive and negative datasets represented as symmetric or asymmetric intuitionistic triangular fuzzy numbers. Moreover, the constructed models of the proposed approach guarantee the homogeneity principle such that for symmetric intuitionistic fuzzy data, the constructed model is symmetric, i.e., the estimated model&rsquo;s coefficients are symmetric intuitionistic fuzzy numbers. Furthermore, the proposed approach is illustrated with the help of a numerical example.The Soft Fuzzy Set In Electrical
http://fomj.qaemiau.ac.ir/article_678783.html
In this article, first the aggregation operator and the operational waves in the oscillators are introduced. Next, we choose a demanded Electrical waveform in the demanded oscillator using a model have been done. We use the fuzzy soft aggregation operator in the oscillators on L2 space at the method can be successfully applied to many problems that contain uncertainties. Our simulation is done with R software.