T. T. Zizi, N. Othman, N. Zainudin, N. A. Wahab, N. Hasbullah, S. Ramli, N. Ibrahim
{"title":"基于模糊逻辑的讲师晋升评价系统","authors":"T. T. Zizi, N. Othman, N. Zainudin, N. A. Wahab, N. Hasbullah, S. Ramli, N. Ibrahim","doi":"10.1109/ICICTM.2016.7890769","DOIUrl":null,"url":null,"abstract":"Lecturer Promotion Assessment System for Department of Computer Science, Faculty of Science and Technology Defence was built to help the promotion of lecturers featured appraiser to conduct an initial assessment of the eligibility status of lecturers. The lecturer will be treated as eligible, in observation or tidal worth in value that has been set to proceed with the application promotion. It is because, in the application for promotion of lecturers it includes several procedures such as application delivery and assessment meetings between committee members. Thus the system helps the evaluator by using the Fuzzy Logic method consists of several phases which are fuzzification, fuzzy inference system and defuzzification. The system uses the engine type Mamdani fuzzy inference system and defuzzification through technique of centroid of Gravity (COG) as the output. Each of the estimated assessment will be compared with a database that has been set before produced as output. There are several ways to analyze the results of these feasibility of using graphs and message box. The construction of this system is expected to help ease the burden of the assessors and settle the problems that arise. In fact, this system may also be a drive to the use of more high-tech systems and artificial intelligence features along with the rapidly evolving technology now.","PeriodicalId":340409,"journal":{"name":"2016 International Conference on Information and Communication Technology (ICICTM)","volume":"170 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Lecturer Promotion Assessment System based on Fuzzy Logic\",\"authors\":\"T. T. Zizi, N. Othman, N. Zainudin, N. A. Wahab, N. Hasbullah, S. Ramli, N. Ibrahim\",\"doi\":\"10.1109/ICICTM.2016.7890769\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Lecturer Promotion Assessment System for Department of Computer Science, Faculty of Science and Technology Defence was built to help the promotion of lecturers featured appraiser to conduct an initial assessment of the eligibility status of lecturers. The lecturer will be treated as eligible, in observation or tidal worth in value that has been set to proceed with the application promotion. It is because, in the application for promotion of lecturers it includes several procedures such as application delivery and assessment meetings between committee members. Thus the system helps the evaluator by using the Fuzzy Logic method consists of several phases which are fuzzification, fuzzy inference system and defuzzification. The system uses the engine type Mamdani fuzzy inference system and defuzzification through technique of centroid of Gravity (COG) as the output. Each of the estimated assessment will be compared with a database that has been set before produced as output. There are several ways to analyze the results of these feasibility of using graphs and message box. The construction of this system is expected to help ease the burden of the assessors and settle the problems that arise. In fact, this system may also be a drive to the use of more high-tech systems and artificial intelligence features along with the rapidly evolving technology now.\",\"PeriodicalId\":340409,\"journal\":{\"name\":\"2016 International Conference on Information and Communication Technology (ICICTM)\",\"volume\":\"170 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Information and Communication Technology (ICICTM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICTM.2016.7890769\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Information and Communication Technology (ICICTM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICTM.2016.7890769","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Lecturer Promotion Assessment System based on Fuzzy Logic
Lecturer Promotion Assessment System for Department of Computer Science, Faculty of Science and Technology Defence was built to help the promotion of lecturers featured appraiser to conduct an initial assessment of the eligibility status of lecturers. The lecturer will be treated as eligible, in observation or tidal worth in value that has been set to proceed with the application promotion. It is because, in the application for promotion of lecturers it includes several procedures such as application delivery and assessment meetings between committee members. Thus the system helps the evaluator by using the Fuzzy Logic method consists of several phases which are fuzzification, fuzzy inference system and defuzzification. The system uses the engine type Mamdani fuzzy inference system and defuzzification through technique of centroid of Gravity (COG) as the output. Each of the estimated assessment will be compared with a database that has been set before produced as output. There are several ways to analyze the results of these feasibility of using graphs and message box. The construction of this system is expected to help ease the burden of the assessors and settle the problems that arise. In fact, this system may also be a drive to the use of more high-tech systems and artificial intelligence features along with the rapidly evolving technology now.