Titlebook: Nanobiotechnology in Bioformulations; Ram Prasad,Vivek Kumar,Devendra Choudhary Book 2019 The Editor(s) (if applicable) and The Author(s),

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Vinita Kumari,Sarushi Rastogi,Vasudha Sharma it cannot identify the decision node it is presently located at. The player is only aware of an information set consisting of more than one node. A player faces incomplete information when it is not aware of, e.g., preferences or payoffs of its opponents. Rough set theory is a prime method addressi

Ebct207

lymphedema

extrovert

Anilú Rubio-Ríos,Lucero Rosales-Marines,José Fernando Solanilla-Duque,Yadira Karina Reyes-Acosta,Marce including hybrid methods like rough-fuzzy, neuro-rough, neuro-rough-fuzzy computing. IJCRS 2017encompasses topics spread among four main tracks: Rough Sets and Data Science (in relation to RSCTC series organized since 1998); Rough Sets and Granular Computing (in relation to RSFDGrC series organiz

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Anil Panghal,Navnidhi Chhikara,V. Anshid,Manga Veera Sai Charan,Vinod Surendran,Anju Malik,Sanju Balugh relations. A constructive basis for generating a new KB as the result of applying the forgetting operator to a rough KB is specified using second-order quantifier elimination techniques. We show the application of this technique with some practical examples.

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Nidhi Saini,Abhilasha Thakur,Pawan Kaur,Suresh Kumar Gahlawatsimilarity of the global structure. Therefore, in this paper, we propose a method for three-way decisions community detection based on weighted graph representation (WGR-TWD). The weighted graph representation (WGR) can well transform the global structure into vector representation and make the two

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U. T. Uthappa,Mahaveer D. Kurkuri,Madhuprasad Kiggaespect to a single point and its neighbourhood. Our approach to near sets is local in the very same sense: we are concerned with nearness of sets seen from the perspective of a single point. Interestingly, this local perspective brings together rough set theory and near set theory, revealing their d