2021
DOI: 10.3390/math9091056
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Boolean-Valued Set-Theoretic Systems: General Formalism and Basic Technique

Abstract: This article is devoted to the study of the Boolean-valued universe as an algebraic system. We start with the logical backgrounds of the notion and present the formalism of extending the syntax of Boolean truth values by the use of definable symbols, internal classes, outer terms and external Boolean-valued classes. Next, we enrich the collection of Boolean-valued research tools with the technique of partial elements and the corresponding joins, mixings and ascents. Passing on to the set-theoretic signature, w… Show more

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Cited by 3 publications
(2 citation statements)
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References 11 publications
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“…Dispersal Weights: The term "dispersal weight" refers to a set theoretic technique to ordering the components of any given set based on their probability and needs (Gutman, 2021), as proposed in this work. For a given set 𝐴 = {π‘Ž 1 , π‘Ž 2 , π‘Ž 3 , … , π‘Ž 𝑛 } and a given set of parameters 𝐡 = {𝑏 1 , 𝑏 2 , 𝑏 3 } for deciding the importance of each element in A, the Dispersal weight M is given as:…”
Section: Matrices Dispersal Weights and Game Theorymentioning
confidence: 99%
“…Dispersal Weights: The term "dispersal weight" refers to a set theoretic technique to ordering the components of any given set based on their probability and needs (Gutman, 2021), as proposed in this work. For a given set 𝐴 = {π‘Ž 1 , π‘Ž 2 , π‘Ž 3 , … , π‘Ž 𝑛 } and a given set of parameters 𝐡 = {𝑏 1 , 𝑏 2 , 𝑏 3 } for deciding the importance of each element in A, the Dispersal weight M is given as:…”
Section: Matrices Dispersal Weights and Game Theorymentioning
confidence: 99%
“…The landscape is structured as a matrix with grids as its elements. Dispersal Weights: The term "dispersal weight" refers to a set theoretic technique for ordering the components of any given set based on their probability and needs [15], as proposed in this work. For a given set: A = {a 1 , a 2 , a 3 , .…”
Section: Matrices Dispersal Weights and Game Theorymentioning
confidence: 99%