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    757 research outputs found

    Ecological transition and new dwelling paradigms

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    We are living a historical phase in which phenomena of enormous significance intersect: the digital turn, the “ecological transition”, the pandemic contingency, against the backdrop of a unique event in the history of human civilization and of Earth itself: for the first time behaviours and choices of a living species are among the main causes of a biotic transition (or mass extinction).The way of thinking, planning, building cities and houses faces with new scenarios. Human and social sciences are called to a deep and fundamental reflection, in the sign of complexity and of the overcoming of scientisms.This contribution, starting from a radical re-thinking of dwelling, intends to provide a critical review of some concrete perspectives of “urban and housing transition” towards new spatial and relational models

    Intuitionistic FWI-ideals of residuated lattice Wajsberg algebras

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    The notions of intutionistic fuzzy Wajsberg implicative ideal( –ideal) and intuitionistic fuzzy lattice ideal of residuated Wajsberg algebras are introduced. Also,  we show that every intuitionistic - ideal of residuated lattice Wajsberg algebra is an intuitionistic fuzzy lattice ideal of residuated lattice Wajsberg algebra. Further, we discuss its converse part

    Regular generalized fuzzy b-separation axioms in fuzzy topology

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    Regular generalized fuzzy b-closure and regular generalized fuzzy b- interior are stated and their characteristics are examined, also Regular generalized fuzzy b - separation axioms have been introduced and their interrelations are examined. The characterization of regular generalized fuzzy b –separation axioms are analyzed

    Derivation of gravitational time dilation from principle of equivalence and special relativity

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    General relativity is the exact theory of gravity which has been experimentally found to be correct with extremely high accuracy. One of the most surprising predictions of the general theory is that time runs slow in a gravitational field. Its proof formally comes from Schwarzschild metric which is a solution of Einstein field equation for a spherically symmetric mass. However, as Einstein field equation is too complex, attempts have been made earlier to derive gravitational time dilation by direct use of principle of equivalence and special theory of relativity. But, this objective has been accomplished partially till date as the resulting expression agrees with the exact expression only upto first order. In this paper, by using principle of equivalence and special relativity, we present a thought experiment which helps us to derive an expression that exactly matches with the expression for gravitational time delay

    Recognizable Hexagonal Picture Languages and xyz domino tiles

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    In the paper "Hexagonal Pattern Languages" K S Dersanambika et.al. define xyz- domino systems and characterized hexagonal pictures using this. Here we define xyz local hexagonal picture languages where the usual notion of hexagonal tiles of size (2, 2, 2) are replaced by a xyz dominos separately. As a result, the regular hexagonal pictures are replaced and studies are done on non-regular hexagonal pictures. Recognizability of these pictures are studied and every recognizable picture language can be obtained as a projection of xyz local languages

    gp alpha Kuratowski's Closure Operators in topological spaces

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    In this paper, we introduce and study topological properties of gpαgp\alpha-limit points, gpαgp\alpha-derived sets, gpαgp\alpha-interior, and gpαgp\alpha-closure using the concept of gpαgp\alpha-open set. Further, the relationship between these concepts are investigated. Also, Kuratowski's axioms are discussed

    The maths of cause-effect relationship

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    Modern science was historically built  by avoiding a direct treatment of cause-effect relationship questions. Recent developments in mathematical, probabilistic and statistical sciences make possible to pursue a more direct approach in cause-effect relationships leading to effective and systematic investigations in  a wide range of scientific research fields

    Estimation of fuzzy metric spaces from ordinary metric spaces

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    In this paper we estimate the new way for analyzing the fuzzy metric spaces from ordinary metric spaces using fuzzy fixed point theorem and vice versa. We derive some definitions and theorems for analyzing the metric spaces with new structure of fuzzy metric space using  fixed point theorems. Also we have given new examples for fuzzy metric spaces using   fixed point theorem

    Analytical and numerical solution of differential equations with generalized fuzzy derivative

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    The aim of this work is to present a novel approach based on the fuzzy  neural network for finding the numerical solution of the first order fuzzy differential equations under generalized H-derivation .The differentiability concept that used in this paper is the generalized differentiability since a first order fuzzy differential equation under this differentiability can have two solutions .The fuzzy trial solution of the fuzzy initial value problem is written as a sum of two parts. The first part satisfies the fuzzy condition, it contains no fuzzy adjustable parameters. The second part involves fuzzy feed-forward neural networks containing fuzzy adjustable parameters. This method, in comparison with existing numerical methods and the analytical solutions, shows that the use of fuzzy neural networks provides solutions with good generalization and high accuracy.   

    Idealization, scientific realism, and the improvement model of confirmation

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    That many of our most successful scientific theories involve one or more idealizations poses a challenge to traditional models of theory confirmation. One popular response amongst scientific realists is the “improvement model of confirmation”: if tightening up one or more of the idealizations leads to greater predictive accuracy, then this supports the belief that the theory’s inaccuracy is a result of its idealizations and not because it is wrong. In this article I argue that the improvement model is deeply flawed and that therefore idealizations continue to undermine “success-to-truth” arguments for scientific realism

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