«fuzzy lower e limit set»
۱۵۶ نتیجهApplications of fuzzy $e$-open sets
The aim of this paper is to introduce and study the notions of fuzzy upper $e$-limit set, fuzzy lower $e$-limit set and fuzzy $e$-continuously convergent functions. Properties and basic relationships among fuzzy upper $e$-limit set, fuzzy lower $e$- limit set and fuzzy $e$-contin
Relaxed upper stability of Ekeland's variational principle for fuzzy-valued functions
We study the relaxed upper stability of Ekeland's variational principle for fuzzy functions under fuzzy order relations induced by the lower and upper set orders of $\alpha$-level sets. Under a D-convergence assumption for fuzzy-valued functions, we prove that every Painleve--Kur
Rough Sets: Theory and Applications Workshop at the Joint Rough Set Symposium July 9th, 2014 Granada, Spain
Fuzzy Rough Support Vector Machine for Data Classification Arindam Chaudhuri Faculty of Post Graduate Studies and Research, Computer Engineering and Technology, Marwadi Education Foundation’s Group of Institutions, Rajkot, India arindam chau@yahoo.co.in Classification of data has
I Classification of incomplete data using the fuzzy ARTMAP neural network
The fuzzy ARTMAP neural network is used to classify data that is incomplete in one or more ways. These include a limited number of training cases, missing components, missing class labels, and missing classes. Modifications for dealing with such incomplete data are introduced, an
modelling of the petroleum hydrocarbons concentration variation in different depths of a contaminated soil during phytoremediation using fuzzy logic
1. introduction isfahan oil refinery (isfahan, iran) is responsible for the production of huge amounts of oil waste. as the released organic compounds are highly toxic, carcinogenic, and mutagenic, they can potentially contaminate the soil and groundwater resources of the adjacen
Planning and management of water resources systems under uncertain future information using fuzzy optimization
To plan a water resources system, fuzzy theory is introduced to handle uncertain future information. Representing runoff hydrograph and future water demand with fuzzy membership functions, the optimal site and scale of the system are decided through fuzzy linear programming. Then
problem solving of uncertainty and independence factors in agricultural capability evaluation by using anp fuzzy method
introduction: agriculture is one of the main uses of the land. using agriculture to increase production is always with acidification and loss of groundwater reserves. therefore, with proper planning for use of agricultural land so that to leave the least negative impacts on the s
A neuro-fuzzy modeling tool to estimate fluvial nutrient loads in watersheds under time-varying human impact
Fluvial nutrient loads are usually calculated through a bilogarithmic regression relating flow and river nutrient concentration. This relationship, however, can be highly nonlinear, due to changes in watershed land uses over time. Also, retransformation of data can result in impo
A Fuzzy Multiple Regression Approach for Optimizing Multiple Responses in the Taguchi Method
The fuzzy regression has been found effective in modeling the relationship between the dependent variable and independent variables when a high degree of fuzziness is involved and only a few data sets are available for model building. This research, therefore, proposes an approac
Multi-attribute and Multi-criteria Decision Making Model for technology selection using fuzzy logic
The problem of identification and elimination of useful technology is a multi-attribute, multi-valued problem which involves both tangible and intangible factors. To select the best useful technology that achieves most of the company requirements, it is essential to use an approp