{ "item_title" : "Distance in Fuzzy Graphs", "item_author" : [" Sameena Kalathodi", "Sunitha M. S. "], "item_description" : "This work mainly focuses on different distance concepts in fuzzy graphs. The properties of δ- distance,-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 its 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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/65/916/934/365916934X_b.jpg", "price_data" : { "retail_price" : "63.72", "online_price" : "63.72", "our_price" : "63.72", "club_price" : "63.72", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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