Consistent generalization of classical two-valued Boolean theories into real-valued Dragan Radojević Mihajlo Pupin Institute, Volgina 15, 1100 Belgrade, Serbia [email protected] Classical mathematical theories in the Boolean frame – the theory of sets, mathematical logic, theory of relations, probability, etc., are based on a black-white outlook. The black-white or two-valued outlook is inadequate for treating impreciseness inherent to many real problems (from cognition, natural languages to quant physics phenomena). This was a motive for the mathematical treatment of gradations and/or for developing real-valued theories: fuzzy sets [1], fuzzy logic [2], [3], fuzzy relations, etc. Another very important motive for treating gradations is reducing the complexity immanent to the mathematical analysis of real problems by classical approaches. For example: two elements of the analyzed universe of discourses can be discerned by the chosen property in the black-white or two-valued approaches, only if one has and the other hasn’t this property. As a consequence, the number of necessary properties (complexity of problem) increases with the increasing number of elements which should be discerned between them. The complexity of this problem can be drastically reduced by introducing gradation since it is possible to discern elements by the same property on the basis of its realized intensities. Consistent Boolean generalization of two-valued into a real-valued theory means preservation of all of its algebraic – value indifferent characteristics: Boolean axioms and theorems. Actually two-valued theories in Boolean frame are based on the celebrated two-valued realization of Boolean algebra (BA) and their real-valued consistent generalization should be based on a real-valued realization of BA. The conventional real-valued theories: fuzzy sets, fuzzy logic, fuzzy relations, fuzzy probability, etc., are not in Boolean frame [4] and/or they are not consistent Boolean generalization of classical theories. Interpolative Boolean algebra (IBA) [5], [6] is a real-valued realization of atomic or finite BA. The real-valued realization of atomic or finite BA is adequate for any real problem since gradation offers superior expressiveness in comparison to the blackwhite outlook. TECHNIQUES OF IBA REALIZATION Technically, IBA is based on generalized Boolean polynomials (GBP-s), [6]. GBP uniquely corresponds to the analyzed element BA of atomic BA. GBP is a mapped disjunctive canonical form of analyzed BA element, on a value level as its polynomial “figure”, which can process values from a real unit interval [0, 1] so as to preserve all algebraic properties of this element by corresponding arithmetic consequents. For example: if one element of BA is included in another , , BA (algebraic property) then, in all possible value realizations, the value of the first element is less or equal to the value of the second (arithmetic property). Disjunctive canonical form and structure (content) of BA element Any element BA of analyzed atomic BA generated by the finite set of free (primary) variables a1 ,...,an can be represented in a disjunctive canonical form as the union (join) of relevant atoms S def Ca j , S : ai ai S a j \S S . S S 1 Which atoms are relevant for the analyzed element is determined by its structure (content) – defined by the following set function: 1, S ; S S S def ; S ; , 0 BA . 0 , S ; S 0 Structure is a value indifferent – algebraic characteristic and/or it is invariant on the type of value realization (two-valued, many-valued and/or real-valued). The structure or content of any element BA of the analyzed BA is homomorphism S S S , S S S , S , C S S ; , BA , S , S 0,1 . and/or it homomorphically maps the analyzed BA - : 0, 1 BA . Structure functionality principle is a fundamental algebraic principle defined in the following way: the structure (content) of any combined element of analyzed BA can be determined directly on the basis of structures of its components. All Boolean axioms and theorems defined for elements of BA satisfy the structures of these elements too. Since the values of structure components of analyzed element of BA are coincident with the values of this element in two-valued realizations: 1, ai S a1S ,...,anS S , aiS def ; ai , S 0, ai S From above it follows that truth functionality principle is the realization of structure functionality principle on a value level in and only in the case of two-valued realization. This principle is arithmetic and as a non-algebraic characteristic it couldn’t be a basis for consistent generalization. Generalized Boolean polynomials A generalized Boolean polynomial (GBP) uniquely corresponds to any element of analyzed atomic BA. GBP is the superposition of relevant atomic GBP-s. Which atoms are relevant for the analyzed element of BA is defined by its structure (content). Atomic GBP is defined by the following expression: S a1 ,...,an ai 1 a j . ai S a j \S Where: is generalized product (from min function to the standard product ). Atomic GBPs have the following properties: (a) their sum is identically equal to 1 S a1 ,...,an 1 ; and (b) they are nonnegative S a1 ,...,an 0. S GBP of analyzed element BA is the superposition of relevant atomic GBP-s, defined by its structure (as a polynomial figure of disjunctive canonical form): a1 ,...,an S a1 ,...,an S S a1 ,...,an S S 1 S In a classical two-valued realization, as a special case, only one atom is equal to one and all others are equal to zero. All elements of BA in which a realized atom (with value 1) is included are equal to 1 and all other are equal to 0. As a consequence in a classical case for a given realized atom any element of BA has a value equal to 1 or 0 (excluded middle) and can’t be 1 and 0 (contradiction). In a general value-irrelevant case, excluded middle means that any atom of BA is included in the analyzed element of BA or in its complement and contradiction means that any atom can’t be included in the analyzed element and in its complement. ILLUSTRATION OF APPLICATIONS Many-valued logic and fuzzy logic in the narrow sense and IBA Real valued logic based on IBA is in the Boolean frame contrary to conventional fuzzy logics and many-valued logic. Example: all phenomena in quant physics can be explained by real-valued logic based on IBA and or algebra of consistent quantum logic is Boolean, contrary to conventional quantum logics. Non-classical logical measures and integrals and IBA Any logical measure can be represented as a linear convex combination of 0-1 measures and/or structures of corresponding logical functions. As a consequence a generalized integral is equal to a linear convex combination of corresponding GBP-s in which a generalized product figures: all operators from ordinary product to min function. For examples: (a) Choquet integral is a linear convex combination of monotone GBP-s with a generalized operator defined as min function; (b) Generalized Choquet integral is a linear convex combination of not only monotone GBP-s, with a generalized operator defined as a min function too. Decision theory and preference modeling and IBA Any DM’s partial logical consistent demand in a general case can be represented as a logical function and as a consequence by a corresponding GBP. A global demand in a general case is a linear convex combination of partial demands with coefficients which reflect the importance of partial demands. So, a global demand is a linear convex combination of corresponding GBP-s. A preference structure is a set of atomic GBP of BA generated by two real-valued relations: great preferences and their transpose , [7]. T Relations to probability theory and statistics and IBA Classical additive probability is based on the classical theory of sets and as a consequence it is in Boolean frame. Real probability [8] is a consistent generalization of classical additive probability based on real sets consistent generalizations of classical sets based on IBA, [6]. Classical non-additive probability is based on classical relations and as a consequence it is in Boolean frame too. Real non-additive probability is a consistent generalization of classical case based on real relations, consistent generalizations of classical relations [8]. CONCLUSION In the analysis of real problems, in a general case, by using gradation – real-valued realization, one can do much more (efficiency) by much less (complexity) than by a classical black-white outlook, on which are based classical two-valued theories in Boolean frame. Consistent Boolean generalization of classical two-valued theories into real-valued theories means preservation of all value irrelevant – algebraic characteristics (all axioms and theorems of BA). Since classical theories are based on celebrated two-valued realization of BA, consistent generalized theories have to be based on real-valued realization of BA. Interpolative Boolean algebra (IBA) [6] is a real-valued realization of BA. In IBA any Boolean function (element of a corresponding BA) is uniquely mapped into a generalized Boolean polynomial (GBP), able to process values from a real unit interval [0, 1], so that it preserves on a value level algebraic properties by corresponding arithmetic properties. Any element of BA and/or GBP has a structure (content) as an algebraic characteristic. Structure functionality principle as an algebraic one, has its value interpretation known as a truth functionality principle for and only for two-valued realizations. 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