Browsing by Author "Sivakamasundari, K"
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Item 5g -Continuous Functions in Topological Spaces(2013) Sivakamasundari, KThe Aim of this paper is to introduce the new class of function called 6g -continuous function by using 5g* -closed set and study their basic properties in topological spaces. We also investigate its relationship w'ith other types of functions.Item Almost Compactness, Light Compactness, Near Compactness, Strong Compactness and Sr-Compactness in L-Fuzzy Topological Spaces(2005-04) Kanagadurga, N; Sivakamasundari, KItem Analysis of some Generalized Closed Sets using ŋ*_Closure Operator(2020-11) Meenakshi, P L; Sivakamasundari, KItem Analysis of Δ*-Closed Sets in Topological Spaces(2016-12) Meena, K; Sivakamasundari, KItem Analysis on Causes, Effects and Preventive Measures on the Use of Pesticide Endosulfan By FCM Models(2016-03) Smitha, M V; Sivakamasundari, KItem Analysis on Causes, Effects and Preventive Measures on the Use of Pesticide Endosulfan By FCM Models(2016-03) Smitha, M V; Sivakamasundari, KItem Bulk Service Queueing Models Under Different Service Facilities(2005-04) Lakshmi Priya, P; Sivakamasundari, KItem Estimation of The Measuers To Eleminate The Use of Endosulf An In Agriculture using Induced Fuzzy Cogintive Map(IFCM)(2016) Sivakamasundari, KIn this article we estimate the measures to eliminate the use o f Endosulfan in agriculture which leads to most dangerous side effects in human beings faced by the people o f South Indian State o f Kerala, Kasargod and Palakkad Districts using Induced Fuzzy Cognitive Maps (IFCMs). We have interviewed 101 Endosulfan victims in the area o f Palakkad and Kasargod Districts o f Kerala. This research investigates the best measures to elimimate the use Endo.sulfan in agriculture by using IFCMs. IFCMs are a fuzzy graph modeling approach based on experts opinion. This is non statistical approach to study the problems with imprecise information.Item Fixed Point Theorems(1998-04) Kavitha, A; Sivakamasundari, KItem Fuzzy CETD matrix to estimate the maximum age group victims of pesticide endosulfan problems faced in Kerala(2013) Sivakamasundari, KThis article is a comprehensive study to find out the maximum age group victims of Endosulfan people in South Indian State of Kerala (Palakkad and Kasargod) using CETD matrix. In the year 2003 W.B.Vasantha used to study migrant labours who were affected by HIV/AIDS.For this paper the data have been collected from Palakkad and Kasargod Dt. Of Kerala covering 101 victims. A detailed report on the harmful effect faced by the people with the usage of the pesticide in India was telecasted in Star T.V. dated June 24, 2012 “Satyameva Jayathe” anchored by filim star Amir Khan.Item A Generalization of Delta Closed Sets in Topological Spaces and Applications(2018-08) Vaishnavy, V; Sivakamasundari, KItem Graph Topological Spaces(2011-04) Kaleeswari, S; Sivakamasundari, KItem Interval-Valued Fuzzy Graphs(2014-03) Divya, S; Sivakamasundari, KItem Isomorphisms of fuzzy graphs(2014-03) Kerthika, D; Sivakamasundari, KItem k-Normal Matrix in Minkowski Space(2011) Sivakamasundari, KThe concept of k-normal matrix in Minkowski space is introduced as a special type of range symmetric matrix m Nlinkowski space and as an analogue of Complex normal matrix. Equivalent conditions for a matrix to be k-normal in Minkowski space are obtained. Some properties of k-normal matrices are derived.Item Metric Completeness and Order Completeness(1995-05) Selvi, S; Sivakamasundari, KItem n-FUZZY PROXIMITY-I : n-FUZZY PROXIMITY AND n-FUZZY UNIFORMITY(2011) Sivakamasundari, KIn this paper, the concept of n-fuzzy proximity and n-fuzzy uniformity are introduced. Some interesting results connecting these concepts are obtained.Item n-FUZZY PROXIMITY-II n-FUZZY PROXIMITY-BASE AND PRODUCT(2011) Sivakamasundari, KIn this paper, a new concept called n-fuzzy proximity base is introduced in /n^. Its extension to a fuzzy proximity base and some of its properties are studied. The behaviour of the new concept r>fuzzy proximity in connection with supremum of a collection of fuzzy proximities and product of a collection of fuzzy proximities is studied in detail.Item n-FUZZY PROXIMITY-III FUZZY TOPOLOGY INDUCED BY n-FUZZY PROXIMITY(2010) Sivakamasundari, KIn this paper, the fuzzy topology induced by n-fuzzy proximity is defined and a relation between the topologies induced by r>fuzzy proximity and its extension is obtained. Here n-fuzzy proximity pn* and it extension, the fuzzy proximity, EJipn) are used to prove that the topology 5(pn*) induced by n-fuzzy proximity pn* is the same as the topology 6[Ex{pn*)) induced by the fuzzy proximity Ex(pn*)- KEYWORDS : Fuzzy topology, n-fuzzy proximity, extension of n-fuzzy proximity, /n-valued fuzzy sets, n'*' upper approximation and rf' lower approximation and n**' lower approximation of a fuzzy set topology induced by proximity.Item A New Class of Open Sets using δ-Preopen Sets(2022-01) Vidhyapriya, P; Sivakamasundari, K
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