GENERAL FUZZY AUTOMATA UNDER SEMANTICALLY SIMILAR ENVIRONMENT: AN APPLICATION TO ENHANCED SEARCH ENGINE PERFORMANCE
Abstract
Automata theory provides a systematic framework for modelling computational processes; however, many real-world systems require greater adaptability and flexibility. This paper presents a general fuzzy automata model ($GFA_\mathbb{SE}$) designed to address these challenges, particularly in environments where the set of states is not predetermined. The proposed model is capable of dynamically integrating semantically similar states based on contextual relevance, enhancing its robustness in handling real-world data variability. Algorithms are introduced to measure the similarity between states. This advancement extends the capabilities of existing General Fuzzy Automata (GFA) frameworks, allowing them to function effectively in uncertain or evolving environments. A practical application of this model is demonstrated in the domain of search engine performance, where the proposed approach improves the handling of queries by mapping them to semantically related states, thereby enhancing the relevance and accuracy of results.
Keywords
References
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Details
Primary Language
English
Subjects
Mathematical Logic, Set Theory, Lattices and Universal Algebra
Journal Section
Research Article
Publication Date
October 6, 2026
Submission Date
June 6, 2025
Acceptance Date
October 7, 2025
Published in Issue
Year 2026 Volume: 16 Number: 10
APA
Kaur, D. R., & Tripathi, A. (2026). GENERAL FUZZY AUTOMATA UNDER SEMANTICALLY SIMILAR ENVIRONMENT: AN APPLICATION TO ENHANCED SEARCH ENGINE PERFORMANCE. TWMS Journal of Applied and Engineering Mathematics, 16(10), 1255-1272. https://izlik.org/JA52SE92EZ
AMA
1.Kaur DR, Tripathi A. GENERAL FUZZY AUTOMATA UNDER SEMANTICALLY SIMILAR ENVIRONMENT: AN APPLICATION TO ENHANCED SEARCH ENGINE PERFORMANCE. JAEM. 2026;16(10):1255-1272. https://izlik.org/JA52SE92EZ
Chicago
Kaur, Dr. Ranjeet, and Alka Tripathi. 2026. “GENERAL FUZZY AUTOMATA UNDER SEMANTICALLY SIMILAR ENVIRONMENT: AN APPLICATION TO ENHANCED SEARCH ENGINE PERFORMANCE”. TWMS Journal of Applied and Engineering Mathematics 16 (10): 1255-72. https://izlik.org/JA52SE92EZ.
EndNote
Kaur DR, Tripathi A (October 1, 2026) GENERAL FUZZY AUTOMATA UNDER SEMANTICALLY SIMILAR ENVIRONMENT: AN APPLICATION TO ENHANCED SEARCH ENGINE PERFORMANCE. TWMS Journal of Applied and Engineering Mathematics 16 10 1255–1272.
IEEE
[1]D. R. Kaur and A. Tripathi, “GENERAL FUZZY AUTOMATA UNDER SEMANTICALLY SIMILAR ENVIRONMENT: AN APPLICATION TO ENHANCED SEARCH ENGINE PERFORMANCE”, JAEM, vol. 16, no. 10, pp. 1255–1272, Oct. 2026, [Online]. Available: https://izlik.org/JA52SE92EZ
ISNAD
Kaur, Dr. Ranjeet - Tripathi, Alka. “GENERAL FUZZY AUTOMATA UNDER SEMANTICALLY SIMILAR ENVIRONMENT: AN APPLICATION TO ENHANCED SEARCH ENGINE PERFORMANCE”. TWMS Journal of Applied and Engineering Mathematics 16/10 (October 1, 2026): 1255-1272. https://izlik.org/JA52SE92EZ.
JAMA
1.Kaur DR, Tripathi A. GENERAL FUZZY AUTOMATA UNDER SEMANTICALLY SIMILAR ENVIRONMENT: AN APPLICATION TO ENHANCED SEARCH ENGINE PERFORMANCE. JAEM. 2026;16:1255–1272.
MLA
Kaur, Dr. Ranjeet, and Alka Tripathi. “GENERAL FUZZY AUTOMATA UNDER SEMANTICALLY SIMILAR ENVIRONMENT: AN APPLICATION TO ENHANCED SEARCH ENGINE PERFORMANCE”. TWMS Journal of Applied and Engineering Mathematics, vol. 16, no. 10, Oct. 2026, pp. 1255-72, https://izlik.org/JA52SE92EZ.
Vancouver
1.Dr. Ranjeet Kaur, Alka Tripathi. GENERAL FUZZY AUTOMATA UNDER SEMANTICALLY SIMILAR ENVIRONMENT: AN APPLICATION TO ENHANCED SEARCH ENGINE PERFORMANCE. JAEM [Internet]. 2026 Oct. 1;16(10):1255-72. Available from: https://izlik.org/JA52SE92EZ