Abstract | ||
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The algorithm presented in this paper deals with use of soft computing technique of Fuzzy logic applied with dynamic graph theory to create graphs which can be efficient in resource allocation process in varied environments, i.e., software project management, operating systems, construction models, etc. The algorithm implies one unique factor of dynamicity which makes graph of resource allocation evolving even after primary design due to chaotic nature of the afore mentioned nature of environments. The use of Fuzzy imparts a logical inference mechanism which rules out non-monotonous reasoning perspective of this dynamicity. The algorithm is robust and adaptive to varied environments. The proposed algorithm will be beneficial for more accurate Engineering in terms of reducing the failures and being more specific in answering the allocation of the resources and how the work has to be undertaken using those resources. It will also emphasize on devising a model which can be adhered to with the proper follow ups such that it could be referred to at the time of chaos or failures. "The development of the Algorithm will be much more product centric and will stick to developer's view of development along with customer's view of required functionalities." |
Year | DOI | Venue |
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2016 | 10.1007/978-981-10-3153-3_7 | PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON FRONTIERS IN INTELLIGENT COMPUTING: THEORY AND APPLICATIONS, FICTA 2016, VOL 1 |
Keywords | DocType | Volume |
Dynamic graph theory,Resource allocation,Fuzzy logic,Chaos theory,Soft computing | Conference | 515 |
ISSN | Citations | PageRank |
2194-5357 | 0 | 0.34 |
References | Authors | |
0 | 3 |
Name | Order | Citations | PageRank |
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Gurpreet Singh | 1 | 37 | 8.36 |
Sanjay Kumar Dubey | 2 | 38 | 4.72 |
Sunil Kumar Bharti | 3 | 0 | 0.34 |