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Sajja, Priti S.
- Multilayer Architecture of Parallel-Genetic-Fuzzy System:A Case of Effective Transportation for Co-Operatives in India
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1 Post Graduate Department of Computer Science, Sardar Patel University, IN
1 Post Graduate Department of Computer Science, Sardar Patel University, IN
Source
National Journal of System and Information Technology, Vol 10, No 2 (2017), Pagination: 91-104Abstract
The paper discusses broad architecture of parallel execution of genetic-fuzzy system by identifying limitations of the single minded traditional genetic algorithms. For additional advantages to manage uncertainty as well as other advantages related with fuzzy logic, fuzzification is also incorporated in the approach. The propose architecture of the hybrid genetic-fuzzy systems is experimented in the domain of dairy co-operatives and sample encoding, genetic operations, fitness functions and fuzzification are discussed for the case. An interface screen is also presented to demonstrate working of the prototype system. At end, advantages and future scope of the proposed work is presented.References
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- Innovative Feature Selection for Effective Context Resolution Using Natural Language Query Interface
Abstract Views :286 |
PDF Views:6
Authors
Affiliations
1 Dept. of MCA, SVIT VASAD, IN
2 Department of Computer Science, Sardar Patel University, IN
1 Dept. of MCA, SVIT VASAD, IN
2 Department of Computer Science, Sardar Patel University, IN
Source
National Journal of System and Information Technology, Vol 11, No 1 (2018), Pagination: 1-8Abstract
Any system that supports human interaction through natural language has high utility and ease of use. The challenge in natural language arises due to difficulty in correct interpretation, disambiguation and context resolution. Use of natural language for information retrieval and other related activities enhances effectiveness of the process and provides greater flexibility to the users in terms of document access. To do so, use of a feature vector with respect to different perspectives in addition to metadata is proposed. The work presented here encompasses a generic architecture of context resolution and categorization of document through use of natural language to achieve the intended goal. The architecture encompasses various document indices along with methodology for lexicon analysis. It also uses metadata. The proposed document features (indices) along with lexical analysis will help in correctly determining the context through the limited query keywords. The architecture is domain independent and can be used for various applications in vernacular languages. To demonstrate the application of the architecture and its methodology, necessary discussion is also included in this paper with required technical details.Keywords
Context Resolution, Lexical Analysis, Natural Language Interface, Document Features, Text Categorization.References
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