Zobrazeno 1 - 10
of 18
pro vyhledávání: '"David P. Pancho"'
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 9, Iss 3 (2016)
Opinion surveys are widely admitted as a valuable source of information which becomes complementary to the information extracted from data by machine learning techniques. This paper focuses on a challenging and still open problem which is related to
Externí odkaz:
https://doaj.org/article/964b72d7e2284365abd39179f4d1b647
Publikováno v:
IEEE Transactions on Cybernetics. 48:474-485
An appropriate visualization of multiobjective nondominated solutions is a valuable asset for decision making. Although there are methods for visualizing the solutions in the design space, they do not provide any information about their relationship.
Publikováno v:
Fuzzy Sets and Systems. 297:1-25
Interpretability is a highly valued capability of fuzzy systems that turns essential when dealing with human interaction. Precise fuzzy modeling prioritizes performance at the cost of harming interpretability. Fuzzy Inference-grams (Fingrams) permit
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 6, Iss 100 (2017)
International Journal of Computational Intelligence Systems, Vol 6, Iss 100 (null)
International Journal of Computational Intelligence Systems, Vol 6, Iss 100 (null)
Understand the behavior of Fuzzy Rule-based Systems (FRBSs) at inference level is a complex task that allows the designer to produce simpler and powerful systems. The fuzzy inference-grams –known as fingrams– establish a novel and mighty tool for
Publikováno v:
IEEE Transactions on Fuzzy Systems. 21:1133-1149
Since Zadeh's proposal and Mamdani's seminal ideas, interpretability is acknowledged as one of the most appreciated and valuable characteristics of fuzzy system identification methodologies. It represents the ability of fuzzy systems to formalize the
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 9, Iss 3 (2016)
Opinion surveys are widely admitted as a valuable source of information which becomes complementary to the information extracted from data by machine learning techniques. This paper focuses on a challenging and still open problem which is related to
Autor:
David P. Pancho, Daniel S. Sanchez, Daniel A. Nunez, Jose Mingot, Jose M. Alonso, Valentin Iglesias, Luis Magdalena, Pablo F. Suarez
Publikováno v:
IFSA-EUSFLAT
This paper presents a software aimed at making easier the design of customized products in accor- dance with consumers' expectations. It is based on a user-centered design methodology which combines techniques provided by Kansei Engineering, Sen- sor
Publikováno v:
FUZZ-IEEE
Indoor localization is increasingly required for applications like deployment of rescue teams in emergency situations, proactive care for the elders, and so on. The quick growing of coverage of WiFi networks makes WiFi technology a very promising cho
Publikováno v:
FUZZ-IEEE
This work presents the full integration of fuzzy inference-grams (Fingrams) in KEEL to visual analysis of fuzzy association rules. Fingrams graphically represent fuzzy rule-based systems (FRBSs) in 2D graphs that illustrate the interaction among fuzz
Publikováno v:
Information Processing and Management of Uncertainty in Knowledge-Based Systems ISBN: 9783319088549
IPMU (2)
IPMU (2)
This paper presents a new methodology aimed at making simpler the product/market fit process. We propose a user-centered approach inspired on the Oriental philosophy that is behind Kansei Engineering. In essence, we advocate for customization of prod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8eb46bbaf2f3710cbd5c4226bb0ec94c
https://doi.org/10.1007/978-3-319-08855-6_62
https://doi.org/10.1007/978-3-319-08855-6_62