Fuzzy Systems [Working Title]最新文献

Fuzzy Logic Control with PSO Tuning 模糊逻辑控制与粒子群整定

Fuzzy Systems [Working Title] Pub Date : 2021-11-17 DOI: 10.5772/intechopen.96297

Jeydson Lopes da Silva

引用次数: 0

Fuzzy Logic Expert System for Health Condition Assessment of Power Transformers 电力变压器健康状态评估模糊逻辑专家系统

Fuzzy Systems [Working Title] Pub Date : 2021-06-24 DOI: 10.5772/INTECHOPEN.98663

T. Manoj, C. Ranga

{"title":"Fuzzy Logic Expert System for Health Condition Assessment of Power Transformers","authors":"T. Manoj, C. Ranga","doi":"10.5772/INTECHOPEN.98663","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.98663","url":null,"abstract":"In the present chapter, a new fuzzy logic (FL) model is proposed to evaluate the overall health index (OHI) of power transformers. The most significant attributes such as dissolved gases, acidity, 2-furfuraldehyde, water content, breakdown voltage and dissipation factor that influence the health condition of transformers solid and liquid insulations are considered. These attributes are further divided into three different sets. Based on these sets, three different sub fuzzy models i.e. F1, F2 and F3 are designed in order to reduce the possible combinations of fuzzy rules. It results in reducing the complexity issues of the proposed OHI model. In addition, consideration of all significant testing parameters makes the model more reliable and accurate. Further, the proposed fuzzy model helps in initiating appropriate and early action on faulty conditions of the transformers. Conventional fuzzy logic models generally utilize large number of inputs and more number of rules in a single fuzzy model. It makes the models complex and inaccurate. Such shortcomings of existing conventional models are successfully overcame by the present proposed model. Furthermore, the results obtained from the proposed model are compared with the results obtained from expert model proposed by Abu-Elanien et al. This comparison ensures the reliability of the proposed method. Also, it is envisioned that the proposed model can be easily implemented by both the experienced and the inexperienced utility managers.","PeriodicalId":106488,"journal":{"name":"Fuzzy Systems [Working Title]","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129500106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluating the Organizational Hierarchy Using the IFSAW and TOPSIS Techniques 利用IFSAW和TOPSIS技术评估组织层级

Fuzzy Systems [Working Title] Pub Date : 2021-04-09 DOI: 10.5772/INTECHOPEN.95979

Mahuya Deb

引用次数: 0

Compensatory of Adaptive Neural Fuzzy Inference System 自适应神经模糊推理系统的补偿

Fuzzy Systems [Working Title] Pub Date : 2021-02-15 DOI: 10.5772/INTECHOPEN.96050

R. Mellah, H. Khati, H. Talem, S. Guermah

引用次数: 2

Location Selection for Smog Towers Using Zadeh’s Z-Numbers Integrated with WASPAS 使用Zadeh的z - number与WASPAS集成进行雾霾塔的位置选择

Fuzzy Systems [Working Title] Pub Date : 2021-02-11 DOI: 10.5772/INTECHOPEN.95906

Janani Bharatraj

引用次数: 0

Fuzzy Multi-Attribute Decision Making (FMADM) Application on Decision Support Systems (SPK) to Diagnose a Type of Disease 模糊多属性决策在决策支持系统(SPK)中的应用

Fuzzy Systems [Working Title] Pub Date : 2021-01-29 DOI: 10.5772/INTECHOPEN.94614

Sugiyarto Surono, Mustika Sari

{"title":"Fuzzy Multi-Attribute Decision Making (FMADM) Application on Decision Support Systems (SPK) to Diagnose a Type of Disease","authors":"Sugiyarto Surono, Mustika Sari","doi":"10.5772/INTECHOPEN.94614","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.94614","url":null,"abstract":"Fuzzy logic is widely applied to daily life with various methods. One method is fuzzy multi-attribute decision making (FMADM). FMADM is able to select the best alternative from a number of alternatives. In FMADM there is a supporting method so that the results obtained are accurate and optimal, namely the classic MADM method. One method in classic MADM is the Simple Additive Weighting (SAW) method. The SAW method is precisely used to minimize diagnostic errors, but if a decision support system is made, the SAW method still requires a further development method, one of which is the FMADM method with its development. The purposes of this study are to describe the steps of SAW method and the development of FDM in theory, implement SAW method and the development of FDM to diagnose a type of disease and implement it in a decision support system using GUI matlab. The completion step of those two methods is through two stages, the first one will go through FMADM stage with SAW, which is weighted sum, then the output will be used as input to the FDM method based on total integral values. The result of this study is proven by patient experienced initial symptoms of high fever at a temperature of 39.5° C - 40° C, very much spots appear in rumple leed test (> 50 petheciae), bleeding gums, rarely got nausea and headache, as well as diarrhea. Accuracy for the decision support system using MAPE was obtained 93% so that the decision support system with FMADM method to diagnose the disease was feasible to use.","PeriodicalId":106488,"journal":{"name":"Fuzzy Systems [Working Title]","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130267616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Existence, Uniqueness and Approximate Solutions of Fuzzy Fractional Differential Equations 模糊分数阶微分方程的存在唯一性及近似解

Fuzzy Systems [Working Title] Pub Date : 2020-11-12 DOI: 10.5772/intechopen.94000

A. Harir, S. Melliani, L. S. Chadli

引用次数: 1

Modified Expression to Evaluate the Correlation Coefficient of Dual Hesitant Fuzzy Sets and Its Application to Multi-Attribute Decision Making 对偶犹豫模糊集相关系数的修正表达式及其在多属性决策中的应用

Fuzzy Systems [Working Title] Pub Date : 2020-07-07 DOI: 10.22541/au.159415553.37101935

Dr. Akanksha Singh

{"title":"Modified Expression to Evaluate the Correlation Coefficient of Dual Hesitant Fuzzy Sets and Its Application to Multi-Attribute Decision Making","authors":"Dr. Akanksha Singh","doi":"10.22541/au.159415553.37101935","DOIUrl":"https://doi.org/10.22541/au.159415553.37101935","url":null,"abstract":"The main objective of this paper is to understand all the existing correlation coefficients (CoCfs) to determine the relation and dependency between two variables of the fuzzy sets and its extensions for solving decision-making (DM) problems. To study the weighted CoCfs between two variables the environment chosen here is dual hesitant fuzzy set (DHFS) which is a generalization of a fuzzy set which considers the hesitant value of both the membership and non-membership elements of a set. Although there exists CoCfs for DHFS but a detailed mathematical analysis suggests that there exists some shortcomings in the existing CoCfs for DHFS. Thus, an attempt has been made to properly understand the root cause of the posed limitation in the weighted CoCfs for DHFS and hence, modified weighted CoCfs for DHFS has been proposed for solving DHFS multi-attribute decision making (MADM) problems i.e., DM problems in which rating value of each alternative over each criterion is represented by a DHFS in the real-life. Also, to validate the proposed expressions of weighted CoCfs for solving DHFS MADM problems, an existing real-life problem is evaluated and a systematic comparison of the solution is presented for clarification.","PeriodicalId":106488,"journal":{"name":"Fuzzy Systems [Working Title]","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117040231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3