1,720,998 research outputs found
Enrique Hector Ruspini, PhD (1942-2019)
No full textEnrique Hector Ruspini, who passed away on October 15, 2019, after a long illness, was one of the first and of the most constant contributors in the field of Soft Computing
Designing Cognitive Cities
No full textThe following text intends to give an introduction into some of the basic ideas which determined the conception of this book. Thus, the first part of this article introduces the terms “City”, “Smart City” and “Cognitive City”. The second part gives an overview of design theories and approaches such as Action Design Research and Ontological Design (a concept in-the-making), in order to deduce from a theoretical point of view some of the principles that needs to be taken into account when designing the Cognitive City. The third part highlights some concrete techniques that can be usefully applied to the problem of citizen communication for Cognitive Cities (namely Metaheuristics, Fuzzy Sets and Fuzzy Logic, Computing with Words, Computational Intelligence Classifiers, and Fuzzy-based Ontologies). Finally, we introduce the articles of this book
A Dynamic Route Planning Prototype for Cognitive Cities
No full textA software prototype for dynamic route planning in the travel industry for cognitive cities is presented in this paper. In contrast to existing tools, the prototype enhances the travel experience (i.e., sightseeing) by allowing additional flexibility to the user. The theoretical background of the paper strengthens the understanding of the introduced concepts (e.g., cognitive cities, fuzzy logic, graph databases) to comprehend the presented prototype. The prototype applies an instantiation and enhancement of the graph database Neo4j . For didactical reasons and to strengthen the understanding of this prototype a scenario, applied to route planning in the city of Bern (Switzerland) is shown in the paper
Designing Cognitive Cities
No full textThefollowingtextintendstogiveanintroductionintosomeofthebasic ideas which determined the conception of this book. Thus, the first part of this article introduces the terms “City”, “Smart City” and “Cognitive City”. The second part gives an overview of design theories and approaches such as Action Design Research and Ontological Design (a concept in-the-making), in order to deduce from a theoretical point of view some of the principles that needs to be taken into account when designing the Cognitive City. The third part highlights some concrete techniques that can be usefully applied to the problem of citizen communication for Cognitive Cities (namely Metaheuristics, Fuzzy Sets and Fuzzy Logic, Computing with Words, Computational Intelligence Classifiers, and Fuzzy-based Ontologies). Finally, we introduce the articles of this book
Fuzzy Logic, Concepts and Semantic Transformers
No full textIn standard fuzzy logic, the meaning of a predicate is identified with a fuzzy extension, i.e. a fuzzy set. This approach abstracts away from the semantic function of concepts. Informally speaking, a concept is a structure in our semantic memory that allows us to categorize objects into the extension of a predicate. In this paper, I present an implementation of concepts in fuzzy logic. The implementation allows fuzzy logic to extend its functional scope. I discuss one new function, i.e. the modeling of fuzzy reasoning with semantic transformers. Semantic transformers are words and phrases that are capable of transforming the meaning of predicates. Intuitive examples are technically and loosely speaking, e.g. “Technically speaking, Richard Nixon is a Quaker” and “Loosely speaking, a vase can be called furniture.
Fuzzy thinking in sociology
Full text link"The well-known distinction between soft and hard science cuts a sharp line of demarcation
between hard and soft facts of scientific studies. Physics deal with precise
hard facts characteristically whereas social sciences are confronted with imprecise
soft social facts because social facts are notoriously vague, interpretative facts of
meaning. Therefore Fuzzy logic seems to fit perfectly the needs of social scientist
that look for mathematical precise models to deal with vague, imprecise data [52].
In this contribution we discuss the usefulness of Fuzzy logic for social sciences in
general, and especially sociology. In a first step we summarize some fundamentals
of 'fuzzy thinking' for social scientist. This will lead to the discussion of the
need of fuzzy thinking in action theory, systems theory, modernization theory and
empirical research.We discuss the advantage of fuzzy thinking for action theory and
social systems theory at length whereas the discussion of fuzzy thinking in modernization
theory and empirical research falls short. Modernization theory and empirical
research just function as further examples for the need and usefulness of fuzzy thinking." (excerpt
From Trillas’ Negations and Antonyms to a Set Representation of Contradiction Within Bipolar and Other Extensions of Fuzzy Sets
No full textA Festschrift book to Enric Trillas RuizIn 1979, Enric Trillas started to interest in in fuzzy connectives. His first paper on this topic was ”Funciones de negacin en la teora de subconjuntos difusos” ([9]) (Negation functions in the theory of fuzzy subsets), which appeared in Spanish in the Stochastica journal. This work, focused on the characterization of strong negations, has been so relevant for the development of fuzzy theory that it was translated into English and widely cited in the last 35 yearsDepto. de Estadística e Investigación OperativaFac. de Ciencias MatemáticasTRUEpu
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