A Comparison Between AHP and Hybrid AHP for Mobile Based Culinary Recommendation System

A Comparison Between AHP and Hybrid AHP for Mobile Based Culinary Recommendation System

culinary recommendation

mobile application

AHP

AHP TOPSIS

Fuzzy AHP

Mobile based culinary recommendation system has become critical topic in mobile application. Some methods presented in the literature propose the use of the AHP (Analytic Hierarchy Process), AHP TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) and fuzzy AHP for mobile based culinary recommendation system. However, there are no comparative studies of these three methods when applied to mobile based culinary recommendation system. Thus, this research presents a comparative analysis of these three methods in the context of culinary recommendation system in mobile environment. The comparison was made based on accuracy and time complexity because mobile application environment needs low time complexity. The results have shown that all of these methods are suitable for culinary recommendation system in mobile environment. Fuzzy AHP have the highest accuracy between all of these methods, it have 66,67 % accuracy. But, AHP TOPSIS shows the best performance in time complexity, with order of growth in quadratic class (n2)

Dewi, Ratih Kartika

Hanggara, Buce Trias

Pinandito, Aryo

International Journal of Interactive Mobile Technologies (iJIM); Vol. 12 No. 1 (2018); pp. 133-140

1865-7923

International Association of Online Engineering (IAOE), Vienna, Austria

2018-01-23

Copyright (c) 2018 Ratih Kartika Dewi, Buce Trias Hanggara, Aryo Pinandito

application/pdf

eng

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

Non-refereed Article