Earticle

초록

영어

Risk evaluation is a significant aspect of risk management; risk assessment, also known as risk description, determines its perspective and suitability by comparing risk to other hazards. Fuzzy logic is a kind of logic used in professional systems as well as additional Artificial Intelligence (AI) applications in which variables might get varying degrees of reliability or falsity denoted by a series of values among 1 (true) and 0 (false). Market, credit, insurance, and trading risk are all assessed using traditional risk models. On the other hand, fuzzy logic models are based on fuzzy set theory and fuzzy logic and are beneficial for analyzing hazards when there is insufficient knowledge or data. The primary motive of this research work is to analyze and propose a fuzzy logic-based risk assessment model to accurately assess the risks involved in establishing the timeline for a business sector development plan. The proposed model is to enhance classical risk assessment models based on "fuzzy logic" functioning on simple "If-Then" rules. The proposed model's simulation results provide effective results in a better way.

목차

Abstract
I. INTRODUCTION
II. LITERATURE REVIEW
III. PROPOSED METHODOLOGY
IV. SIMULATION RESULTS
V. CONCLUSION
VI. REFERENCES

저자

• Sagheer Abbas [ Department of Computer Science, Prince Mohammad Bin Fahd University, Al- Khobar, Kingdom of Saudi Arabia ]
• Muhammad Saleem [ School of Computer Science Minhaj University Lahore Lahore, Pakistan ]
• Muhammad Sajid Farooq [ Department of Cyber Security, NASTP Institute of Information Technology Lahore (NIIT), Lahore, 54000, Pakistan ]
• Muhammad Ubaid Ullah [ University of South Asia, Lahore, Pakistan ]
• Muhammad Adnan Khan [ School of Computing, Skyline University College, Sharjah, United Arab Emirates. RSCI, Riphah International University, Lahore 54000, Pakistan. ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국차세대컴퓨팅학회 학술대회

• 간기

  반년간

• 수록기간

  2021~2025

• 십진분류

  KDC 566 DDC 004