WebMay 25, 2024 · Intuitionistic fuzzy information theory is mainly based on affiliation theory, which can transform qualitative language into quantitative evaluation. Therefore, this method can be used to synthesize the alternatives using other quantitative ranking methods. In fact, in other words, intuitionistic fuzzy information theory is better applied to ... WebOct 4, 2024 · Spherical fuzzy sets (SFSs) are often made up of membership, nonmembership, and hesitancy grades, and also have the advantage of accurately representing decision makers (DMs) preferences. This article proposes novel spherical fuzzy aggregation operators (AOs) based on Aczel–Alsina (AA) operations, …
Fuzzy Information Measures with Multiple Parameters IntechOpen
WebApr 14, 2024 · The metric matrix theory is an important research object of metric measure geometry and it can be used to characterize the geometric structure of a set. For intuitionistic fuzzy sets (IFS), we defined metric information matrices (MIM) of IFS by using the metric matrix theory. We introduced the Gromov–Hausdorff metric to measure the … WebCurrent FOMO Feature – Fuzzy Leprechaun* Description & Nutrition Current FOMO Feature – Fuzzy Leprechaun Nutrition Facts Serving Size Calories Calories From Fat Total Fat Saturated Fat Trans Fat 0 g Cholesterol Sodium Total Carbohydrate Dietary Fibers … YoUR fUZZy'S fiX iS A CLiCK AWAy. ORDER to Go . Ordering to-go? You’ve … minecraftwidios
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WebFuzzy Information and Engineering—An International Journal wants to provide a unified communication platform for researchers in a wide area of topics from pure and applied … Web, A method for repairing the inconsistency of fuzzy preference relations, Fuzzy Sets Syst. 157 (2006) 20 – 33. Google Scholar [21] Meng F., Chen X., A new method for group decision making with incomplete fuzzy preference relations, Knowl.-Based Syst. 73 (2015) 111 – 123. Google Scholar WebToward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic. LA Zadeh. Fuzzy sets and systems 90 (2), 111-127, 1997. 3578: 1997: Probability measures of fuzzy events. LA Zadeh. Journal of mathematical analysis and applications 23 (2), 421-427, 1968. 3490: mort \\u0026 co toowoomba