2022
DOI: 10.1007/s10462-022-10282-6
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Setback in ranking fuzzy numbers: a study in fuzzy risk analysis in diabetes prediction

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Cited by 8 publications
(1 citation statement)
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“…Further, we noticed that the range of the classical set is very limited because we have just zero and one, but in many real-life cases, we needed a stronger theory, for this, Zadeh [4] exposed the fuzzy set (FS) theory with a strong range, where the range of FS is unit interval. Further, FS theory is very flexible and very dominant because of its structure, where the truth grade in FS is defined based on a universal set to the unit interval, and because of these reasons many applications have been done by different scholars, for instance, fuzzy superior mandelbrot set [5], fuzzy n-soft sets [6], complex fuzzy n-soft sets [7], hesitant fuzzy n-soft sets [8], evolving research agenda based on fuzzy information [9], on a novel view of fuzzy logic and their applications [10], and setback in ranking fuzzy numbers [11]. Furthermore, Zhang [12] initiated the bipolar FS (BFS), where the BFS contained the positive and negative truth information based on fixed set-to-unit intervals, such as [0, 1] and [-1, 0].…”
Section: Introductionmentioning
confidence: 99%
“…Further, we noticed that the range of the classical set is very limited because we have just zero and one, but in many real-life cases, we needed a stronger theory, for this, Zadeh [4] exposed the fuzzy set (FS) theory with a strong range, where the range of FS is unit interval. Further, FS theory is very flexible and very dominant because of its structure, where the truth grade in FS is defined based on a universal set to the unit interval, and because of these reasons many applications have been done by different scholars, for instance, fuzzy superior mandelbrot set [5], fuzzy n-soft sets [6], complex fuzzy n-soft sets [7], hesitant fuzzy n-soft sets [8], evolving research agenda based on fuzzy information [9], on a novel view of fuzzy logic and their applications [10], and setback in ranking fuzzy numbers [11]. Furthermore, Zhang [12] initiated the bipolar FS (BFS), where the BFS contained the positive and negative truth information based on fixed set-to-unit intervals, such as [0, 1] and [-1, 0].…”
Section: Introductionmentioning
confidence: 99%