Fuzzy Logic Based Personalized Task Recommendation System for Field Services

2017 ◽  
pp. 300-312 ◽  
Author(s):  
Ahmed Mohamed ◽  
Aysenur Bilgin ◽  
Anne Liret ◽  
Gilbert Owusu
Keyword(s):  
Fuzzy Logic ◽  
Recommendation System

scholarly journals Study of Diet Recommendation System based on Fuzzy Logic and Ontology

2015 ◽  
Vol 132 (12) ◽  
pp. 20-24 ◽  
Author(s):  
Shital V. ◽  
S.S. Sambare
Keyword(s):  
Fuzzy Logic ◽  
Recommendation System

A type-2 fuzzy logic recommendation system for adaptive teaching

2015 ◽  
Vol 21 (4) ◽  
pp. 965-979 ◽  
Author(s):  
Khalid Almohammadi ◽  
Hani Hagras ◽  
Bo Yao ◽  
Abdulkareem Alzahrani ◽  
Daniyal Alghazzawi ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Recommendation System ◽  
Adaptive Teaching

scholarly journals An Exploratory Study of Hierarchical Fuzzy Systems Approach in A Recommendation System

2019 ◽  
Vol 14 (2) ◽  
pp. 174-186
Author(s):  
Tajul Rosli Razak ◽  
Iman Hazwam Abd Halim ◽  
Muhammad Nabil Fikri Jamaludin ◽  
Mohammad Hafiz Ismail ◽  
Shukor Sanim Mohd Fauzi
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Systems ◽  
Recommendation System ◽  
Systems Approach ◽  
Fuzzy Logic Systems ◽  
Input Variables ◽  
Hierarchical Fuzzy System ◽  
Hierarchical Fuzzy Systems ◽  
Insight Into ◽  
Logic System

Recommendation system, also known as a recommender system, is a tool to help the user in providing asuggestion of a specific dilemma. Recently, the interest in developing a recommendation system in manyfields has increased. Fuzzy Logic system (FLSs) is one of the approaches that can be used to model therecommendation systems as it can deal with uncertainty and imprecise information. However, one of thefundamental issues in FLS is the problem of the curse of dimensionality. That is, the number of rules inFLSs is increasing exponentially with the number of input variables. One effective way to overcome thisproblem is by using Hierarchical Fuzzy System (HFSs). This paper aims to explore the use of HFSs forRecommendation system. Specifically, we are interested in exploring and comparing the HFS and FLS forthe Career path recommendation system (CPRS) based on four key criteria, namely topology, the numberof rules, the rules structures and interpretability. The findings suggested that the HFS has advantagesover FLS towards improving the interpretability models, in the context of a recommendation systemexample. This study contributes to providing an insight into the development of interpretable HFSs in theRecommendation systems. Keywords: Fuzzy Logic Systems, Hierarchical Fuzzy Systems, Recommendation Systems

Fuzzy Logic based Recommendation System: Crafts to Clients Suggestion

2021 ◽  
Author(s):  
Saber Modallal ◽  
Mamoon Hassan ◽  
Amjad Hawash
Keyword(s):  
Fuzzy Logic ◽  
Recommendation System

Content based news recommendation system based on fuzzy logic

2014 ◽  
Author(s):  
Md. Nuruddin Monsur Adnan ◽  
Mohammed Rashid Chowdury ◽  
Iftifar Taz ◽  
Tauqir Ahmed ◽  
Rashedur M Rahman
Keyword(s):  
Fuzzy Logic ◽  
Recommendation System ◽  
News Recommendation
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