Fuzzy Logic

International Journal of Scientific Research in Science and Technology, 2021

This Paper give introduction to Fuzzy Logic and Various application in different branch of Engineering and Research. Fuzzy Logic is Applied branch of Mathematics in which Lots of research is taking place. Fuzzy Logic works on "if.....then.....".Fuzzy Logic gives the idea that members are not restricted to T or F definition. The concept of Fuzzy Logic is used in the various fields as Artificial Intelligence, Aerospace, Automotive Business, Defence, Electronics, Finance, Industrial Sector, Marine Sector, Manufacturing, Medical, Securities, Transportation Pattern Recognition and Classification, Psychology, etc. The whole field of Engineering as civil Engineering, Mechanical Engineering, Industrial Engineering real Reliability theory, Robotics, Computer Engineering is broad to be covered here in a comprehensive way.

Journal of Science and Medicine in Sport, 2001

In today's fast paced world of increasing and innovative new technology, fuzzy logic is a practical mathematical addition to classic Boolean logic. We can see its applications in many fields of science and engineering. This paper gives a general overview with a large bibliography, on many such applications to target tracking, pattern recognition, robotics, power systems, controller design, chemical engineering, biomedical engineering, vehicular technology, economy management as well as decision making, communications and networking, electronic engineering, civil engineering, sensor technology, and industry

Advances in Fuzzy Systems, 2013

Fuzzy logic has emerged as a very powerful tool in dealing with complex problems. Recently the role of inference in handling uncertainty in engineering applications is gaining importance. Engineers and scientists are generally confronted with problems which are impossible to solve numerically using traditional mathematical rules. By making use of fuzzy logic , one can characterize and control a system whose model is not known or is ill- defined [11]. Fuzzy theory has the capability to capture the impreciseness of linguistic terms in statements of natural language. this provided with a greater capability to model human common-sense reasoning and decision making [14]. The idea of fuzzy logic was propounded by Lotfi Zadeh in 1965. His later works ‘A Rationale for Fuzzy Control’ and ‘Linguistic Approach’ (in 1972 and 1973 respectively) motivated the pioneering work done by other scientists. The first trial of fuzzy control was conducted by Mamdani on a laboratory steam engine (1974). In the 70’s this motivated the researchers to develop a series of applications of fuzzy control [3]. the work on derivation of fuzzy control rules (1983) was carried out by Takagi and Sugeno. Since mideighties research has been directed towards incorporating fuzzy at the hardware level itself [1], [7]. [11]. The work on fuzzy chip done by Togai Watanabe (1985) in an important milestone in this direction. An attempt has been made in this paper to inspire the reader to appreciate the use of fuzzy logic as a new logical tool that is instrumental in handling problems with ambiguities and where the information is imprecise and non numerical. the in adequacy of traditional Boolean logic to emulate the human thinking has also been highlighted.

"The idea of fuzzy logic is based close to the human reasoning and regular exercises. It presents predicates which are available in nature and like those either enormous or little. This hypothesis copies human brain science in the matter of how a man settles on the choice speedier. Fuzzy logic is a superset of ordinary (Boolean) logic that has been stretched out to deal with the idea of halfway truth - truth esteems between ""totally obvious"" and ""totally false"". It can be actualized in equipment, programming, or a mix of both. It can be incorporated with anything from little, hand-held items to vast modernized process control frameworks. Deepak Sharma | Sohan Garg""A critical study of fuzzy logic systems and its applications"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-1 , December 2016, URL: http://www.ijtsrd.com/papers/ijtsrd105.pdf Article URL: http://www.ijtsrd.com/engineering/computer-engineering/105/a-critical-study-of-fuzzy-logic-systems-and-its-applications/deepak-sharma"

Facta universitatis - series: Electronics and Energetics, 2005

Journal of Fundamental & Comparative Research, 2023

Fuzzy logic is tolerant of imprecision, uncertainty, partial truth, and approximation. The basic ideas underlying soft computing in its current form is influenced by Zadeh's 1965 paper on fuzzy sets. Systems based on fuzzy logic are becoming popular in industry, business, defence. Medical, and many more. The successful applications of fuzzy logic suggest that the impact of fuzzy logic will increase in coming years. Fuzzy logic is likely to play an important role in science and engineering, but its influence may extend much farther. Fuzzy logic has provided to be an excellent choice for the many control system application. In the present competitive scenario the fuzzy logic system are being adopted for the improvement of the quality and reduction of development time and the cost of a product. Fuzzy logic has proven to be an excellent choice for many control system applications. In this research paper authors studied various applications of fuzzy logic in industrial processes and in various segments.

Advances in Fuzzy Systems, 2013

The theory of fuzzy logic is based on the notion of relative graded membership, as inspired by the processes of human perception and cognition. Lotfi A. Zadeh published his first famous research paper on fuzzy sets in 1965. Fuzzy logic can deal with information arising from computational perception and cognition, that is, uncertain, imprecise, vague, partially true, or without sharp boundaries. Fuzzy logic allows for the inclusion of vague human assessments in computing problems. Also, it provides an effective means for conflict resolution of multiple criteria and better assessment of options. New computing methods based on fuzzy logic can be used in the development of intelligent systems for decision making, identification, pattern recognition, optimization, and control.

2023

According to the ancient records and archaeological inscriptions in Sri Lanka, Buddhism existed parallel to the Buddha era. An ancient Dagaba or Seela tradition prevailed in Sri Lanka before Stupa Sanchi was built in the 2nd century BCE. The Buddha is said to have visited Lanka Dipa on three occasions. Much controversy had prevailed among Buddhists not knowing when Buddhism first came to the Island. This study suggests ways to search for a precise answer to this hypothesis and search whether Buddhist teachings prevailed on the Island before the Mauryan mission in the 3rd century BCE. This study will search the Sri Lankan Chronicles, Tipitaka, ancient texts, and research presented by scholars with relevant archaeological evidence. The findings may unveil that the inauguration of Buddhism came with Buddha’s visits to Lanka Dipa. Later, Thera Mahinda rejuvenised and re-established an order of Sanga, making Buddhism the state religion of Sri Lanka.