Fuzzy Logic and Soft Computing—Dedicated to the Centenary of the Birth of Lotfi A. Zadeh (1921–2017)

Nădăban, Sorin

doi:10.3390/math10173216

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…Fuzzy Logic [26] was born to guide decision models that reduce uncertainty and facilitate decision-making [28]. These models have practical applications ranging from consumption to intelligent products [29]. Their effectiveness also responds to new societal needs, such as sustainable development [20], climate change [30], and the COVID-19 pandemic [31].…”

Section: Introductionmentioning

confidence: 99%

Algorithm Applied to SDG13: A Case Study of Ibero-American Countries

2023

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Scientific studies confirm the existence of a crisis caused by climate change, in which global causes produce local effects. Despite climate agreements, greenhouse gas emissions continue to fall short of targets to limit global warming. There is still a need for comparable data for Sustainable Development Goal (SDG) 13—Climate Action. The motivation of the research is to provide data for decision-making and to propose solutions to address the climate crisis. The article aims to propose a Fuzzy Logic algorithm to evaluate the SDG13 indicators and to deepen the discussion on climate change. The research is applied explanatory with a combined approach (quantitative-qualitative) through modeling, simulation, and case studies. As a result, the OWA operator ranks 10 Ibero-American countries to SDG13, indicating Colombia, Peru, and Cuba in the first positions. The main contributions are the reduction of identified knowledge gaps and proposals for action for policy and decision-makers. A limitation of this study would be the number of participating countries. The authors indicate future lines of research.

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Section: Introductionmentioning

confidence: 99%

Algorithm Applied to SDG13: A Case Study of Ibero-American Countries

2023

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“…Moreover, under the framework of (L, M)-fuzzy convex structures, the concepts of quotient structures, substructures, and products are presented and their fundamental properties are discussed. At the same time, some scholars study the ideality and derivability of fuzzy sets [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

M-Hazy Module and Its Homomorphism Theorem

Huo

Liu

2023

Journal of Mathematics

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Based on a completely distributive lattice M , we propose a new fuzzification approach to a module, which leads to the concept of an M -hazy module. Different from the traditional fuzzification approach that defines a fuzzy algebra as a fuzzy subset of a classical algebra, we introduce an M -hazy module by fuzzifications of algebraic operations. Then, we investigate the fundamental properties of M -hazy modules and M -hazy submodules. In particular, we present the M -hazy module homomorphism theorem.

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