Search results for "Fuzzy logic"
showing 10 items of 470 documents
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.
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 …
Experimental modeling for a natural landing of fuzzy sets in new domains
2015
In this paper we plan to touch upon (and briefly discuss) some (out of the many) contributions done by Enric Trillas to Fuzzy Sets Theory. We have carefully chosen, from the abundant panorama we have been allowed to gaze at in the years, two different but intertwined topics of a more methodological character, which—as such—are, obviously, not only outside the topics massively developed by the scientific community in this field but also not in the mainstream of Enric’s investigations. We picked up them, however, since we believe that they are related to a crucial problem for the further developments of fuzzy research in the subsequent years. In this perspective, they represent a very signifi…
On Fuzziness, Its Homeland and Its Neighbour
2013
It has been frequently remembered (also in the invitation letter to contribute to the present volume) that in his 1962 paper [27] which is a sort of proto-manifesto of fuzzy sets [28], Zadeh among the possible names that could denote the new notion he was trying to introduce, basides fuzzy, mentioned the term cloudy. If he had chosen this last one as the name of the theory, today we had contributed to a volume On Cloudiness.
Soft Computing Methods for Personnel Selection Based on the Valuation of Competences
2014
Personnel selection based on candidates' competences is a difficult task due to the imprecise description of the applicants' competences and to the existence of several experts simultaneously evaluating those attributes. In this context, fuzzy sets theory provides suitable tools for the attainment of the maximum possible information from imprecise data. In this work, personnel selection methods are proposed that rely on the definition of an ideal candidate. Aggregated fuzzy valuations of each candidate are obtained taking into account the individual valuations provided by the experts. Then, candidates are ranked based on their similarity with the ideal candidate. Three different scenarios a…
Quantum Machine Learning: A tutorial
2021
This tutorial provides an overview of Quantum Machine Learning (QML), a relatively novel discipline that brings together concepts from Machine Learning (ML), Quantum Computing (QC) and Quantum Information (QI). The great development experienced by QC, partly due to the involvement of giant technological companies as well as the popularity and success of ML have been responsible of making QML one of the main streams for researchers working on fuzzy borders between Physics, Mathematics and Computer Science. A possible, although arguably coarse, classification of QML methods may be based on those approaches that make use of ML in a quantum experimentation environment and those others that take…
D-stability for discrete-time t-s fuzzy descriptor systems with multiple delays
2014
In this work, the D-stability problem is considered for a class of discrete-time Takagi-Sugeno (T-S) fuzzy descriptor systems with multiple state delays. In terms of linear matrix inequality, sufficient conditions are proposed to ensure that all poles of the descriptor T-S fuzzy system are located within a disk contained in the unit circle. Moreover, a sufficient condition is presented such that the singular system is regular, causal and D-stable in spite of multiple state delays. Finally, an example is given to show the effectiveness and advantages of the proposed techniques Refereed/Peer-reviewed
How to empower women’s entrepreneurship? An analysis of women’s sport employment and contextual variables in European Union countries using a fuzzy a…
2021
Although the number of women entrepreneurs has increased in recent years, it is still lower than that of men. In addition, although the sports sector has been characterized by its growth in recent years and contributes to the GDP of the countries by generating employment, the role that this has within female entrepreneurship has never been analysed. Therefore, the objective of this study is to know the combinations of conditions (female employment in sports, government support, financing for entrepreneurs, perception of entrepreneurial opportunities and capacities, glass ceiling index and masculine values in society) that generate high levels of female entrepreneurship in the countries of t…
Solving type-2 assembly line balancing problem with fuzzy binary linear programming
2013
This paper deals with the use of fuzzy set theory as a viable alternative method for modelling and solving the stochastic assembly line balancing problem. This paper presents a fuzzy extension of the simple assembly line balancing problem of type 2 SALBP-2 with fuzzy job processing times since uncertainty, variability, and imprecision are often occurred in real-world production systems. The job processing times are formulated by triangular fuzzy membership functions using their statistical distributions. This study proposes to solve a Fuzzy Binary Linear Problem FBLP with fuzzy coefficients in the objective function and in a constraint. Finally, the effect of the unbalancing of a station in…
A decision support system methodology for forecasting of time series based on soft computing
2006
Exponential procedures are widely used as forecasting techniques for inventory control and business planning. A number of modifications to the generalized exponential smoothing (Holt-Winters) approach to forecasting univariate time series is presented, which have been adapted into a tool for decision support systems. This methodology unifies the phases of estimation and model selection into just one optimization framework which permits the identification of robust solutions. This procedure may provide forecasts from different versions of exponential smoothing by fitting the updated formulas of Holt-Winters and selects the best method using a fuzzy multicriteria approach. The elements of the…