Search results for "Soft computing"
showing 10 items of 45 documents
Fuzzy Linear Programming in Practice: An Application to the Spanish Football League
2010
FLP problems are perhaps one of the most and best studied topics of Soft Computing, and are among the most fruitful in applications and in theoretical and practical results. Areas of application of FLP problems are many and varied and in fact suppose an extraordinary example of technology transfer in action. In this paper, Fuzzy Linear Programming models are applied to the European football game in which the inherent uncertainty of the parameters relating to the football teams in the Spanish Football League serve to establish these models and so optimize the returns of the investments made to maintain a high quality competition. In this context, fuzzy DEA models are established which provid…
Artificial Vision and Soft Computing
1999
The term soft-computing has been introduced by Zadeh in 1994. Soft-computing provides an appropriate paradigm to program malleable and smooth concepts. For example, it can be used to introduce flexibility in artificial systems to improve their Intelligent Quotient. The aim of this paper is to describe the applicability of soft-computing to artificial vision problems. Good performance of this approach is assured by the fact that digital images are examples of fuzzy entities, where shapes are not always describable by exact equations and their approximation can be very complex.
Some reflections on Fuzzy Set Theory as an Experimental Science
2014
The aim of this paper is to open a critical discussion on the claim, recently presented in the community and especially heralded by Enric Trillas, that fuzzy logic should be seen as an “experimental science”. The first interesting aspect of such remark is whether and in which way such position has consequences on the real development of the research, or if it is simply a (different) way of looking at the same phenomenon. As a consequence, we investigate the possible connection to Zadeh’s distiction between Fuzzy logic in a restricted sense and in a general sense. We shall argue that Trillas’s claim not only strongly supports the necessity for such a distinction, but provides a path of inves…
Concepts, Theories, and Applications: The Role of “Experimentation” (and “Context”) for Formalizing New Ideas along Innovative Avenues
2012
The main aim of this paper is to present a few general ideas preliminary to an assessment of the role that a correct interchange between the elaboration of new theories and an open minded experimentation can have in the development of new fields of investigation. Although many of the reflections and remarks that follow will be of a very broad type, the reference background of all the paper will be, in general, the composite field of information sciences and, more specifically, the innovative concepts and approaches introduced by fuzzy sets theory. Abe Mamdani’s work can certainly be considered as an outstanding example of the way in which these innovations arose and, subsequently, flourishe…
Applying Cathegorical Metrics on Fuzzy Systems
2007
This work analyzes the categorical metrics usage on a very specific subset of Intelligent Systems: Fuzzy Systems. Several characteristics for such systems must be carefully evaluated when metrics and indicators are defined, in order to consider the fuzzy essence as part of the evaluation result. A set of metrics and indicators are defined and applied to the classical inverted pendulum problem. The paper does not intend to provide an exhaustive analysis of the quality evaluation on soft computing problem. It just presents a way to start the study of quality measure in that area.
On Some “family resemblances” of Fuzzy Set Theory and Human Sciences
2011
The aim of this paper is to underline the importance of detecting similarities or at least, ‘family resemblances’ among different fields of investigation. As a matter of fact, the attention will be focused mainly on fuzzy sets and a few features of human sciences; however, I hope that the arguments provided and the general context outlined will show that the problem of picking up (dis)similarities among different disciplines is of a more general interest. Usually strong dichotomies guide out attempts at understanding the paths along which scientific research proceed; i.e., soft versus hard sciences, humanities versus the sciences of nature, Naturwissenschaften versus Geisteswissenschaften, …
Soft Computing Techniques for Portfolio Selection: Combining SRI with Mean-Variance Goals
2014
A fuzzy portfolio selection model is presented incorporating a socially responsible goal without discarding a priori financially good portfolios or weakening a priori the financial goals. Hence, the optimal portfolios it provides could be either efficient from the strictly financial point of view or non-efficient if leaving the efficient frontier substantially improves the degree of social responsibility. The model can be used to direct heuristic procedures in order to select a reduced number of various alternatives from which the investor can directly make a final decision.
Pyramid symmetry transforms: From local to global symmetry
2007
Pyramid computation is a natural paradigm of computation in planning strategies and multi-resolution image analysis. This paper introduces a new paradigm that is based on the concept of soft-hierarchical operators implemented in pyramid architecture to retrieve global versus local symmetries. The concept of symmetry is mathematically well defined in geometry whenever patterns are crisp images (two levels). Necessity for a soft approach occurs with multi-levels images and whenever the separation between object and background is subjective or not well defined. The paper describes two new pyramid operators to detect symmetries based on previously introduced conventional operators. For sake of …
On "Explicandum" versus "Explicatum"
2011
The aim of this paper is twofold. First of all I want to present some old ideas revisited in the light of some of the many interesting new developments occurred in the course of these last ten years in the field of the foundations of fuzziness. Secondly I desire to present a tentative general framework in which it is possible to compare different attitudes and different approaches to the clarification of the conceptual problems arising from fuzziness and soft computing. In the paper, then, I shall use some names as banners to indicate a (crucial) problem (i.e., Carnap’s problem, von Neumann’s problem, Galileian science, Aristotelian science and so on). As it will be clear by reading the pap…
In the Future Everyone Will Be a Fuzzy Set: Enric Trillas, FST as an Experimental Science and the Relationship with Theory of Concepts
2015
Enrique Trillas Ruiz has had a long association with Italy, and for ten years now has been in the Scientific committee of WILF, the International Workshop on Fuzzy Logic born and breed in our country; it was not until WILF 2009, which our research group organised in Terrasini (Palermo) and in which organising committee I sat, that I become aware of the “complementary soul” of Enric’s work. Up to that point I had stumbled upon his papers on fuzzy operators and logic, mostly the joint works of him and Claudi Alsina, such as [1, 2, 21], but my research interest at the time seemed to me away and far apart from the ensemble of symbols and logical implication: I was trying to use the elements of …