A Comparative Study of AHP and Fuzzy AHP Method for Inconsistent Data
Ashek-Al-Aziz, Md., Mahmud, Sagar, Islam, Md. Azizul, Mahmud, Jubayer Al, Hasib, Khan Md.
–arXiv.org Artificial Intelligence
In various cases of decision analysis we use two popular methods: Analytical Hierarchical Process (AHP) and Fuzzy based AHP or Fuzzy AHP. Both the methods deal with stochastic data and can determine decision result through Multi Criteria Decision Making (MCDM) process. Obviously resulting values of the two methods are not same though same set of data is fed into them. In this research work, we have tried to observe similarities and dissimilarities between two methods outputs. Almost same trend or fluctuations in outputs have been seen for both methods for same set of input data which are not consistent. Both method outputs ups and down fluctuations are same for fifty percent cases.
arXiv.org Artificial Intelligence
Dec-23-2020
- Country:
- Europe > Middle East
- Republic of Türkiye > Istanbul Province > Istanbul (0.04)
- Asia
- India (0.04)
- Middle East > Republic of Türkiye
- Istanbul Province > Istanbul (0.04)
- Bangladesh > Dhaka Division
- Dhaka District > Dhaka (0.04)
- Europe > Middle East
- Genre:
- Research Report (0.50)
- Technology: