Sameena Kalathodi (12 results)
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- Softcover
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Published by LAP LAMBERT Academic Publishing 2012-07-18 2012
- Softcover
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- Softcover
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- Softcover
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Taschenbuch. Condition: Neu. Distance in Fuzzy Graphs | g-distance, µ -distance, - distance, and ss-distance | Sameena Kalathodi (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2012 | LAP Lambert Academic Publishing | EAN 9783659169342 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 2…8, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.
- Softcover
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- Softcover
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- Softcover
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- Softcover
- Print on Demand
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
- Softcover
- Print on Demand
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PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
- Softcover
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Seller: moluna, Greven, Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kalathodi SameenaDr.Sameena Kalathodi is Assistant Professor,Mathematics Department,M.E.S Mampad College,University of Calicut.Completed Ph.D from NIT Calicut.Several papers published in international j…ournals.Awarded Women scientist.
- Softcover
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This work mainly focuses on different distance concepts in fuzzy graphs. The properties of - distance,µ -distance and g-distance are studied and defined ss-distance in a connected fuzzy graph. A study of g-distance in a fuzzy tree and it…s associated maximum spanning tree is carried out.Various types of degrees of a node and its properties in fuzzy graphs are studied. The concept of strong cycle is introduced and studied the properties of fuzzy end nodes and strong cycles in a fuzzy graph. Clustering techniques using distance concepts in fuzzy graphs are discussed and introduced a procedure for finding clusters of order k using distance matrix. Also clustering techniques based on the connectedness concepts in fuzzy graphs are discussed. Fuzzy graph theoretic techniques are applied in fuzzy neural network.
