Earticle

초록

영어

One of the most serious complications of diabetes is Diabetic foot. The incidence of diabetic foot increases equally on a rise of diabetic's increases and it is often ignored by people leading to a rise in major amputations. Diabetic foot disease diagnosis is done by using fuzzy logic and beneficial as it incorporates the knowledge and experience of physician into fuzzy sets and rules. In this paper, we propose a fuzzy expert system framework for diabetic foot which constructs large scale knowledge based diabetic foot system. The knowledge is constructed by using the fuzzification. Fuzzy verdict mechanism uses triangular membership function with mamdanis inference. Defuzzification method is adopted to convert the fuzzy values into crisp values.

목차

Abstract
 1. Introduction
  1.1. Diabetic Foot Problems
 2. Literature Review
 3. Proposed Method
  3.1 Fuzzy Inference System 1
  3.2. Fuzzy Inference System 2
  3.3. Fuzzy Inference System 3
  3.4. Results
  3.5. Second Layer Fuzzy Inference System
  3.6. Diabetic Foot Classifications
  3.7. Conclusion
 References

키워드

저자

• J.Jayashree [ School of Computer Engineering, VIT University, India ]
• Nikhil Chaudhari [ School of Computer Engineering, VIT University, India ]
• N.Ch.S.N. Iyengar [ School of Computer Engineering, VIT University, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605