An Effective Selection of Mobile Robot Model Using Fuzzy Logic Approach

2015 ◽  
Vol 2 (4-5) ◽  
pp. 2605-2614 ◽  
Author(s):  
Jagannath Sahu ◽  
B.B. Choudhury ◽  
M.K. Muni ◽  
M.R. Patra
1999 ◽  
Vol 8 (5) ◽  
pp. 597-608 ◽  
Author(s):  
Awad S. Hanna ◽  
Wafik B. Lotfallah

2016 ◽  
Vol 15 (03) ◽  
pp. 1650032 ◽  
Author(s):  
Mehrbakhsh Nilashi ◽  
Othman Ibrahim ◽  
Shamila Sohaei ◽  
Hossein Ahmadi ◽  
Alireza Almaee

Reference management software (RMS) is the most important aspect that is essential for all levels of researchers. They are established as research tools to help scholars in organising their work, improving workflows, and ultimately saving time. Choosing an appropriate RMS for managing records and utilising the bibliographic citation has been a challenge among researchers. They always seek for the features of an appropriate RMS prior to making an investment to buy the software. In this paper, a fuzzy logic approach is adopted for assessing the features of RMS from the researchers’ perspectives. Accordingly, a web-based survey was conducted and data collected from the researchers who had experience with different types of RMS. Then, we analyse the effects of RMS features on researcher perception in selecting an appropriate reference management program and find the importance level of those features. This study provides a toolset for RMS developers to identify the importance level of RMS features and accordingly consider these important features in developing the next generation of citation management software.


2021 ◽  
Vol 16 (4) ◽  
pp. 10
Author(s):  
Tracy Adeline Ajoi ◽  
Shirley Sinatra Gran ◽  
Agnes Kanyan ◽  
Siti Farah Lajim

The Best Student Award is one of the incentives initiated by an institution to identify potential students who are not only excellent academically, but also possess great leadership skills. Moreover, these skills may also be enhanced which subsequently contribute to the future of society. Nonetheless, one of the greatest challenges faced by evaluators in the selection process include uncertainty and imprecise data in measuring the students’ leadership competencies. Thus, this paper proposes the development of Initiative-Systematic Performance Evaluation (I-SPE) as an initiative tool to measure students’ competencies based on Fuzzy Logic Approach. The study focuses on the selection of the best student based on data collected from a leadership programme – Program Kepimpinan Pewaris Bangsa  (PKPB) conducted at Universiti Teknologi MARA (UiTM) Cawangan Sarawak, Mukah Campus. In the current practice, tie and time-consuming challenges due to the subjectivity and complexity of measurement criteria are involved. Therefore, I-SPE will assist to provide an improved decision-making solution to evaluators during the evaluation process. Fuzzy logic tools used to develop I-SPE allow the experts to introduce any uncertainty and subjectivity into the evaluation system. The development of fuzzy rules in this model is based on five selected attributes, which include leadership, communication, teamwork, discipline and CGPA. Results obtained indicate that the proposed model I-SPE is able to improve decision-making efficiency that would lead to fairness in selecting the best candidate as compared to the conventional method. Keywords: Evaluation, Fuzzy logic, Initiative, Leadership, Student’s Award


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