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10.1186/s40064-016-3066-8 http://scihub22266oqcxt.onion/10.1186/s40064-016-3066-8 C5005259!5005259!27652024     free     free     free       Springerplus 2016 ; 5 (1): ä Nephropedia Template TP {{tp|p=27652024|t=2016. On m-polar fuzzy graph structures |pdf=|usr=}}{{27652024}} gab.com Text On m-polar fuzzy graph structures JO: Springerplus http://www.kidney.de/pget.php?&tw=1&pmid=27652024 #FOAvip Sometimes information in a network model is based on multi-agent, multi-attribute, multi-object, multi-polar information or uncertainty rather than a single bit. An m-polar fuzzy model is useful for such network models which gives more and more precision, flexibility, and comparability to the system as compared to the classical, fuzzy and bipolar fuzzy models. In this research article, we introduce the notion of m-polar fuzzy graph structure and present various operations, including Cartesian product, strong product, cross product, lexicographic product, composition, union and join of m-polar fuzzy graph structures. We illustrate these operations by several examples. We also investigate some of their related properties. Twit Text FOAVip On m-polar fuzzy graph structures ????Springerplus http://www.kidney.de/pget.php?&tw=1&pmid=27652024 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27652024 #FOAvip English Wikipedia <ref>{{Cite pmid|27652024}}</ref> On m-polar fuzzy graph structures #MMPMID27652024 Akram M; Akmal R; Alshehri N Springerplus 2016[]; 5 (1): ä PMID27652024show ga Sometimes information in a network model is based on multi-agent, multi-attribute, multi-object, multi-polar information or uncertainty rather than a single bit. An m-polar fuzzy model is useful for such network models which gives more and more precision, flexibility, and comparability to the system as compared to the classical, fuzzy and bipolar fuzzy models. In this research article, we introduce the notion of m-polar fuzzy graph structure and present various operations, including Cartesian product, strong product, cross product, lexicographic product, composition, union and join of m-polar fuzzy graph structures. We illustrate these operations by several examples. We also investigate some of their related properties. äOn m-polar fuzzy graph structures (epmc).pdf DeepDyve Pubget Overpricing