Hybrid Technique for Data Scrutiny using Artificial Intelligence
Ritika1, Reenu Dhaiya2, Rishabh Bhardwaj3
1Dr. Ritika, Associate Professor, Computer Science Department, St. Andrews institute of technology and management, Gurugram, India
2Ms. Reenu, Assistant Professor, Computer Science Department, World College of technology and management, Gurugram, India
3Mr. Rishabh bhardwaj, Assistant Professor, Mechanical Department, St. Andrews institute of technology and management, Gurugram, India.
Manuscript received on January 05, 2020. | Revised Manuscript received on January 25, 2020. | Manuscript published on January 30, 2020. | PP: 4456-4459 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6445018520/2020©BEIESP | DOI: 10.35940/ijrte.E6445.018520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Today’s time is of artificial intelligence. We are trying to reduce the search space by some methods as uncertain data is also used in the system to solve problems. To manage our database we use hybrid techniques. Like Fuzzy expert system, fuzzy genetic system, in this paper we will see how can we use such system in solving an application.
Keywords: Knowledge base (KB), Data Base(DB), Rule Base, Genetic, Fuzzy Logic.
Scope of the Article: Fuzzy Logic.