Zobrazeno 1 - 10
of 22
pro vyhledávání: '"T. R. Sooraj"'
Autor:
T. R., Sooraj1 soorajtr19@gmail.com, Tripathy, B. K.1
Publikováno v:
Songklanakarin Journal of Science & Technology. Sep/Oct2018, Vol. 40 Issue 5, p1125-1135. 11p.
Publikováno v:
International Journal of Fuzzy System Applications. 7:99-117
This article describes how the lack of adequate parametrization in some of the earlier uncertainty based models like fuzzy sets, rough sets motivated Molodtsov to introduce a new model in soft set. A suitable combination of individual models leads to
Autor:
T. R. Sooraj, B. K. Tripathy
Publikováno v:
International Journal of Fuzzy System Applications. 7:44-61
As seed selection is a challenging task due to the presence of hundreds of varieties of seeds of each kind, some homework is necessary for selecting suitable seeds as new varieties and kinds of seeds are introduced in the market every year having the
Publikováno v:
Intelligent Multimedia Data Analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::488d6110831a4a1361878986b34f2d73
https://doi.org/10.1515/9783110552072-006
https://doi.org/10.1515/9783110552072-006
Publikováno v:
Hybrid Metaheuristics for Image Analysis ISBN: 9783319776248
The goal of the segmentation techniques called deformable models is to adapt a curve in order to optimize the overlapping with another image of interest with the actual contour. Some of the problems existing in optimization involve choosing an optimi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8d4462d1bc83e904552a96fea918716
https://doi.org/10.1007/978-3-319-77625-5_6
https://doi.org/10.1007/978-3-319-77625-5_6
The term “memetic algorithm” was introduced by Moscato is an extension of the traditional genetic algorithm. It uses a local search technique to reduce the likelihood of the premature convergence. Memetic algorithms are intrinsically concerned wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9abf4fbd128e806a92fdc0a892e04817
https://doi.org/10.4018/978-1-5225-5204-8.ch060
https://doi.org/10.4018/978-1-5225-5204-8.ch060
In recent years, most of the applications in game theory have been developed based on the theory of fuzzy sets. But the inadequacy of the parameterization tool in fuzzy set theory leads to difficulties for decision making in the game theory. Soft set
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::711b5d68387b61c145f416bb969b4b3c
https://doi.org/10.4018/978-1-5225-2255-3.ch281
https://doi.org/10.4018/978-1-5225-2255-3.ch281
Publikováno v:
Smart Computing and Informatics ISBN: 9789811055430
There are several models of uncertainty found in the literature like fuzzy set (FS), rough set, intuitionistic fuzzy set, soft set, and hesitant fuzzy set. Also, several hybrid models have come up as a combination of these models and have been found
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8d9b6ac0ecc60cf0d80b17da7a15a4a
https://doi.org/10.1007/978-981-10-5544-7_25
https://doi.org/10.1007/978-981-10-5544-7_25
Publikováno v:
Smart Computing and Informatics ISBN: 9789811055430
Decision making has become a common feature in day-to-day activities. Uncertainty-based models are more efficient in handling such problems. In this chapter, we propose an algorithm in this direction by using a hybrid model formed by combining the tw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4da777214937fb1de1fa21678e4c7659
https://doi.org/10.1007/978-981-10-5544-7_22
https://doi.org/10.1007/978-981-10-5544-7_22