Earticle

초록

영어

Technological breakthroughs in Artificial Intelligence (AI) have led to the growth of human-like computers that can work independently and replicate a cognitive activity. The progression and interest among managers, researchers, and the general public have aroused interest in many industries, and significant corporate sectors are spending massively to profit gain through technology with the development of business interaction models. As information technology (IT) platforms become more advanced, and business activities become more autonomous, there is an increasing demand for business managers to better impact company operations and how they correspond with organizational goals. Machine learning and fuzzy logic design have lately been highlighted as recent innovations. Machine learning is an artificial intelligence approach that may enable smarter and more intelligent decision-making outcomes. In comparison, Fuzzy Logic Design (FLD) is a procedure that provides inferences or solutions from an ambiguous situation. In this research article, a fuzzy-inspired intelligent interaction model for the business sector is proposed, which utilizes a fuzzy logic design approach while enabling users to understand functions from a business standpoint and organize them related to the business targets, identify key indicators and carry out the necessary intelligent analysis on them to recognize causal factors of unforeseen metric values and enhance efficiency to improve business leadership.

목차

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

저자

• Nouh Elmitwally [ School of Computing and Digital Technology, Birmingham City University, Birmingham, B4 7XG, UK. ]
• Muhammad Sajid Farooq [ Department of Cyber Security, NASTP Institute of Information Technology Lahore (NIIT), Lahore, 54000, Pakistan ]
• Muhammad Saleem [ School of Computer Science Minhaj University Lahore Lahore, Pakistan ]
• Muhammad Ubaid Ullah [ University of South Asia, Lahore, Pakistan ]
• Muhammad Adnan Khan [ SOC, Skyline University College, Sharjah, United Arab Emirates. RSCI, RIU, Lahore, Pakistan ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국차세대컴퓨팅학회 학술대회

• 간기

  반년간

• 수록기간

  2021~2025

• 십진분류

  KDC 566 DDC 004