Andry Meylani, A. Handayani, Ciksadan, Carlos Rs, N. Husni, S. Nurmaini, I. Yani
{"title":"Different Types of Fuzzy Logic in Obstacles Avoidance of Mobile Robot","authors":"Andry Meylani, A. Handayani, Ciksadan, Carlos Rs, N. Husni, S. Nurmaini, I. Yani","doi":"10.1109/ICECOS.2018.8605206","DOIUrl":null,"url":null,"abstract":"This paper presents a comparison of T1FLS (Type 1 Fuzzy Logic System) and IT2FLS (Interval Type 2 Fuzzy Logic System) Performancewith the simulation on matlab of mobile robot for obstacle avoidance in different environment, start-target point, and number of obstacles. A comparison is done by analyzing the time taken by the mobile robot in reaching the target on each type of FLS. IT2FLS, which has a type-reducer, process data more slowly than T1FLS to making1 decisions. Therefore, it takes more times to reach the target Experimental result shows that IT2FLS produce good performance compare to T1FLS, but IT2FLS has the disadvantages of processing algorithms a little longer.","PeriodicalId":149318,"journal":{"name":"2018 International Conference on Electrical Engineering and Computer Science (ICECOS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Electrical Engineering and Computer Science (ICECOS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECOS.2018.8605206","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This paper presents a comparison of T1FLS (Type 1 Fuzzy Logic System) and IT2FLS (Interval Type 2 Fuzzy Logic System) Performancewith the simulation on matlab of mobile robot for obstacle avoidance in different environment, start-target point, and number of obstacles. A comparison is done by analyzing the time taken by the mobile robot in reaching the target on each type of FLS. IT2FLS, which has a type-reducer, process data more slowly than T1FLS to making1 decisions. Therefore, it takes more times to reach the target Experimental result shows that IT2FLS produce good performance compare to T1FLS, but IT2FLS has the disadvantages of processing algorithms a little longer.