A fuzzy approach for multi criteria decision making in web recommendation system for e-commerce

2013 ◽  
Author(s):  
Rajhans Mishra
Keyword(s):  
Decision Making ◽  
Recommendation System ◽  
Multi Criteria Decision Making ◽  
Fuzzy Approach

A Fuzzy Approach for Ranking of Student's Expectation From a Technical Institute

2021 ◽  
pp. 1628-1640
Author(s):  
Ajit Kumar Singh ◽  
A. M. Rawani
Keyword(s):  
Decision Making ◽  
Technical Education ◽  
Education Sector ◽  
Educational Services ◽  
Multi Criteria Decision Making ◽  
Fuzzy Approach ◽  
Technical Institute ◽  
Student Expectations

Due to high competition and less employability in the technical education sector, quality in technical education has turned out to be most extreme imperative criteria to deliver better educational services. For this reason, it is required to screen the expectation of the customer of the education sector for fulfilling their needs. With aim of this, this article first illustrates the identification of the customer of the education sector, then their expectations from an institute and finally a detailed ranking of each expectation which has been done. For the ranking of student's expectations, various authors have used a number of multi-criteria decision-making methods, but the vagueness of the result was not being handled in their research. Therefore, in this study, a fuzzy approach has been used to rank the various expectations of customers. The result of the study indicates that among all student expectations, the job-oriented expectation is the most important expectation and further, an ergonomics-based expectation and a sports-based expectation are the least important expectations of the students.

scholarly journals Designing Personalisation in a Environmental Recommendation System: Differences of AHP and Fuzzy AHP

2021 ◽  
Author(s):  
Katerina Kabassi
Keyword(s):  
Decision Making ◽  
Recommendation System ◽  
Fuzzy Ahp ◽  
Environmental Awareness ◽  
Multi Criteria Decision Making ◽  
The Past

Different methods have been proposed for designing the personalization process in a recommendation system. In the past, multi-criteria decision making theories have been proposed for the design of stereotypes in a recommendation system for environmental awareness. The main objective of this paper is on presenting the main differences when applying the fuzzy AHP and AHP for designing the weights of criteria in a recommendation system that its personalization process is based on multi-criteria decision making theories.

Rancang Bangun Sistem Rekomendasi Pemilihan Smartphone Berbasis Web

2017 ◽  
Vol 7 (1) ◽  
pp. 31-37
Author(s):  
Adhi Kusnadi ◽  
Christophorus Kris Widiarso ◽  
Hugeng Hugeng
Keyword(s):  
Decision Making ◽  
User Satisfaction ◽  
Recommendation System ◽  
Storage Capacity ◽  
Multi Criteria Decision Making ◽  
Battery Capacity ◽  
Product Method ◽  
Size Type ◽  
Processor Speed ◽  
Test User

With so many variations in the number of smartphones in the market  makes it difficult to choose. Therefore, it is necessary to make a recommendation system that can help the process of selecting a smartphone. For the system of recommendation used the method weihgted product. Weighted product method is a method frequently used in the Multi- Criteria Decision Making. Weighted product method capable of finding the best sequence of several alternatives, with criteria price, size, type of OS, RAM size, processor speed, storage capacity, the ability of photography, and the battery capacity. To test user satisfaction is conducted survey of 30 respondents, with Likert scale and  Cronbach Alpha. The figures obtained was 0.70, indicating that the system got quite good feedback from respondents. Keywords - recomended system, smartphones, weighted product.

Mobile Information Recommendation Using Multi-Criteria Decision Making with Bayesian Network

2015 ◽  
Vol 14 (02) ◽  
pp. 317-338 ◽  
Author(s):  
Han-Saem Park ◽  
Moon-Hee Park ◽  
Sung-Bae Cho
Keyword(s):  
Decision Making ◽  
Bayesian Network ◽  
Recommendation System ◽  
Multi Criteria Decision Making ◽  
Group Recommendation ◽  
Mobile Environment ◽  
Subjective Test ◽  
Reliable Performance ◽  
Information Recommendation ◽  
Hierarchy Process

The advancement of network technology and the popularization of the Internet lead to increased interest in information recommendation. This paper proposes a group recommendation system that takes the preferences of group users in mobile environment and applies the system to recommendation of restaurants. The proposed system recommends the restaurants by considering various preferences of multiple users. To cope with the uncertainty in mobile environment, we exploit Bayesian network, which provides reliable performance and models individual user's preference. Also, Analytical Hierarchy Process of multi-criteria decision-making method is used to estimate the group users' preference from individual users' preferences. Experiments in 10 different situations provide a comparison of the proposed method with random recommendation, simple rule-based recommendation and neural network recommendation, and confirm that the proposed method is useful with the subjective test.

scholarly journals Multi Criteria Decision Making (MCDM) based preference elicitation framework for life insurance recommendation system

2021 ◽  
Vol 12 (2) ◽  
pp. 1848-1858
Author(s):  
Asha Rani, Et. al.
Keyword(s):  
Decision Making ◽  
Life Insurance ◽  
Recommendation System ◽  
Intelligent System ◽  
Insurance Industry ◽  
Preference Elicitation ◽  
Multi Criteria Decision Making ◽  
Digital Revolution ◽  
Criteria Weights ◽  
Selection Of

The global life insurance industry has shown a phenomenal growth in number of companies, insurance products and their users. The digital revolution has played a pivotal role in the field of insurance too. Increased numbers of companies and insurance plans have increased the complexities and time involved in selection of appropriate policies. At present, major share of policy selling goes to the agents which may be biased and time consuming. The web aggregators too have failed to provide customized and personalized suggestions. Major portion of population still finds the selection of best insurance plan unfriendly and tedious. This huge volume of data requires intelligent system to facilitate efficient and effective retrieval, processing and management of the data from multiple dimensions. This research paper proposes a framework to provide a personalized life insurance recommender system using TOPSIS method of multi-criteria decision making. Point allocation method along with TOPSIS provides preference elicitation and list of recommended policies ranked according to closeness coefficients. Sensitivity analysis in the paper shows the effect of changing the policy features’ preferences (criteria weights) on the final recommended products. The proposed framework helps in achieving computational excellence for efficient decision making with reduced complexity

A Fuzzy Approach for Ranking of Student's Expectation From a Technical Institute

2019 ◽  
Vol 10 (2) ◽  
pp. 41-52 ◽  
Author(s):  
Ajit Kumar Singh ◽  
A. M. Rawani
Keyword(s):  
Decision Making ◽  
Technical Education ◽  
Education Sector ◽  
Educational Services ◽  
Multi Criteria Decision Making ◽  
Fuzzy Approach ◽  
Technical Institute ◽  
Student Expectations

Due to high competition and less employability in the technical education sector, quality in technical education has turned out to be most extreme imperative criteria to deliver better educational services. For this reason, it is required to screen the expectation of the customer of the education sector for fulfilling their needs. With aim of this, this article first illustrates the identification of the customer of the education sector, then their expectations from an institute and finally a detailed ranking of each expectation which has been done. For the ranking of student's expectations, various authors have used a number of multi-criteria decision-making methods, but the vagueness of the result was not being handled in their research. Therefore, in this study, a fuzzy approach has been used to rank the various expectations of customers. The result of the study indicates that among all student expectations, the job-oriented expectation is the most important expectation and further, an ergonomics-based expectation and a sports-based expectation are the least important expectations of the students.

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