发布求助
文献互助 智能选刊 最新文献

International Journal of Fuzzy System Applications最新文献

筛选
英文 中文
Hybrid Distributed Deep-GAN Intrusion Detection System in IoT with Autoencoder 基于自编码器的物联网混合分布式深度gan入侵检测系统
International Journal of Fuzzy System Applications Pub Date : 2022-01-01 DOI: 10.4018/ijfsa.312238
S. Balaji, S. Sankaranarayanan
{"title":"Hybrid Distributed Deep-GAN Intrusion Detection System in IoT with Autoencoder","authors":"S. Balaji, S. Sankaranarayanan","doi":"10.4018/ijfsa.312238","DOIUrl":"https://doi.org/10.4018/ijfsa.312238","url":null,"abstract":"","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":"11 1","pages":"1-20"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70458042","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
A New Distance Measure to Rank Type-2 Intuitionistic Fuzzy Sets and Its Application to Multi-Criteria Group Decision Making 一种新的2型直觉模糊集排序距离测度及其在多准则群决策中的应用
International Journal of Fuzzy System Applications Pub Date : 2022-01-01 DOI: 10.4018/IJFSA.285982
V. Anusha, V. Sireesha
{"title":"A New Distance Measure to Rank Type-2 Intuitionistic Fuzzy Sets and Its Application to Multi-Criteria Group Decision Making","authors":"V. Anusha, V. Sireesha","doi":"10.4018/IJFSA.285982","DOIUrl":"https://doi.org/10.4018/IJFSA.285982","url":null,"abstract":"","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":"11 1","pages":"1-17"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70458131","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
Impact of Learning on the Inventory Model of Deteriorating Imperfect Quality Items With Inflation and Credit Financing Under Fuzzy Environment 模糊环境下学习对通货膨胀和信用融资下劣化不完善品库存模型的影响
International Journal of Fuzzy System Applications Pub Date : 2022-01-01 DOI: 10.4018/ijfsa.302125
{"title":"Impact of Learning on the Inventory Model of Deteriorating Imperfect Quality Items With Inflation and Credit Financing Under Fuzzy Environment","authors":"","doi":"10.4018/ijfsa.302125","DOIUrl":"https://doi.org/10.4018/ijfsa.302125","url":null,"abstract":"The present paper contributes to a set of models capturing economic order quantity with learning effect and fuzzy environment for decaying defective quality items under the inflation condition and credit financing. In real-life situations, the demand is uncertain and is controlled with fuzzy numbers. When each item goes through inspection process, the screening rate is assumed to be more than the demand rate otherwise shortages may occur and this consideration also helps one to meet their demand parallel to the screening process, out of the items which are of perfect quality. Further, the defective items are sold immediately after the screening process as a single lot at a discounted price. Further, the fraction of defective items follows the S-shaped learning curve. An expression for the total fuzzy profit of the retailer has been de-fuzzified with the help of a signed distance method and maximizes the cycle length. Conclusively, sensitive analysis has been presented on the various effective parameters of the inventory model.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46987087","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
Unification of imprecise data - translation of fuzzy to multi-valued knowledge over Y-axis 不精确数据的统一——y轴上模糊知识到多值知识的转换
International Journal of Fuzzy System Applications Pub Date : 2022-01-01 DOI: 10.4018/ijfsa.292459
{"title":"Unification of imprecise data - translation of fuzzy to multi-valued knowledge over Y-axis","authors":"","doi":"10.4018/ijfsa.292459","DOIUrl":"https://doi.org/10.4018/ijfsa.292459","url":null,"abstract":"Inference systems are a well-defined technology derived from knowledge-based systems. Their main purpose is to model and manage knowledge as well as expert reasoning to insure a relevant decision making while getting close to human induction. Although handled knowledge are usually imperfect, they may be treated using a non classical logic as fuzzy logic or symbolic multi-valued logic. Nonetheless, it is required sometimes to consider both fuzzy and symbolic multi-valued knowledge within the same knowledge-based system. For that, we propose in this paper an approach that is able to standardize fuzzy and symbolic multi-valued knowledge. We intend to convert fuzzy knowledge into symbolic type by projecting them over the Y-axis of their membership functions. Consequently, it becomes feasible working under a symbolic multi-valued context. Our approach provides to the expert more flexibility in modeling their knowledge regardless of their type. A numerical study is provided to illustrate the potential application of the proposed methodology.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43161823","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
IMPROVING THE COMPUTATIONAL PROCESS FOR IDENTIFYING OPTIMAL DESIGN USING FUZZIFIED DECISION MODELS 利用模糊决策模型改进优化设计识别的计算过程
International Journal of Fuzzy System Applications Pub Date : 2022-01-01 DOI: 10.4018/ijfsa.303562
{"title":"IMPROVING THE COMPUTATIONAL PROCESS FOR IDENTIFYING OPTIMAL DESIGN USING FUZZIFIED DECISION MODELS","authors":"","doi":"10.4018/ijfsa.303562","DOIUrl":"https://doi.org/10.4018/ijfsa.303562","url":null,"abstract":"Concept selection in design is an important aspect of design process that must be done properly with the right tools. The identification of optimal design is presented in this article by integrating three Multicriteria decision making models which are fuzzified pairwise comparison matrices, fuzzified weighted decision matrix and fuzzy VIKOR. Rather than depending solely on design expert’s view to determine weights of the design features, the pairwise comparison matrices determines the weights of design features and sub features in the decision process. The weighted decision matrix aggregates scores for the alternative designs considering the availability of sub features in them. The aggregated scores form the elements of the main decision matrix together with the weights of the design features and the Fuzzy VIKOR model determines the performance index of the design concepts. The hybridized model was validated using four conceptual designs of liquid spraying machines and the results obtained shows that the model provides computational integrity in decision making process.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43036957","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: 1
Fuzzy Utility Matrix based Intelligent Decision-Making model and its application to Diet recommendation system for Metabolic Disorders patient 基于模糊效用矩阵的智能决策模型及其在代谢性疾病患者饮食推荐系统中的应用
International Journal of Fuzzy System Applications Pub Date : 2022-01-01 DOI: 10.4018/ijfsa.303563
{"title":"Fuzzy Utility Matrix based Intelligent Decision-Making model and its application to Diet recommendation system for Metabolic Disorders patient","authors":"","doi":"10.4018/ijfsa.303563","DOIUrl":"https://doi.org/10.4018/ijfsa.303563","url":null,"abstract":"In the present article an effort has been made to design and develop a diet recommendation system for Metabolic Disorders patients. The key feature of this system is to recommend a menu for dinner to maintain nutritional micros as per daily requirements.The proposed intelligent decision-making system is designed as per the following phases:Under the 1st Phase, we compute the requirement of calories as per the Patient's personal information (like sex, age, height, weight), physical activity, environmental situations, and food habits on a daily basis. Under the 2nd Phase, development of knowledge base as per Patient's foods habits information. 3rd Phase is based on designing the recommendation system for a dinner menu to maintain nutritional micros as per daily requirements. The results of the system have been validated by using the Degree of match algorithm and comments of Nutritional experts. This intelligent decision making system will help the ordinary people living in urban and rural areas, especially those not aware of the nutritional value concerned with their daily food items.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43493204","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
A Neutrosophic Intelligent System for Heart Disease Diagnosis 用于心脏病诊断的中性粒细胞智能系统
International Journal of Fuzzy System Applications Pub Date : 2022-01-01 DOI: 10.4018/ijfsa.302121
{"title":"A Neutrosophic Intelligent System for Heart Disease Diagnosis","authors":"","doi":"10.4018/ijfsa.302121","DOIUrl":"https://doi.org/10.4018/ijfsa.302121","url":null,"abstract":"Heart disease diagnosis depends on vague, imprecise, ambiguity and inconsistent combination of clinical and pathological data. Therefore, researches in these fields tend to the use of intelligent systems to overcome the uncertainty found in data. This paper suggests neutrosophic logic to obtain a better decision of heart diagnosis with the desire to reduce the number of tests required to be taken on a patient and solve the information uncertainty issue. This paper analyses the dataset to extract the five common features that affect heart disease in Egypt, which are blood pressure, blood sugar, cholesterol, chest pain, and maximum heart rate. Then; it presents a neutrosophic diagnosing system for heart disease depends on a dataset from Egyptian persons were used and independently verified by three experts using semi-structured questionnaire. Finally, the comparison results between human experts, and the presented neutrosophic diagnosing system shows an accuracy of 87% of the proposed system compared with 73% of the fuzzy system.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44054974","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: 2
Distance-based Knowledge measure of Hesitant Fuzzy Linguistic Term Set with its application in Multi-criteria decision-making 基于距离的犹豫模糊语言术语集知识度量及其在多准则决策中的应用
International Journal of Fuzzy System Applications Pub Date : 2022-01-01 DOI: 10.4018/ijfsa.292460
{"title":"Distance-based Knowledge measure of Hesitant Fuzzy Linguistic Term Set with its application in Multi-criteria decision-making","authors":"","doi":"10.4018/ijfsa.292460","DOIUrl":"https://doi.org/10.4018/ijfsa.292460","url":null,"abstract":"Motivated by the structural aspect of the probabilistic entropy, the concept of fuzzy entropy enabled the researchers to investigate the uncertainty due to vague information. Fuzzy entropy measures the ambiguity/vagueness entailed in a fuzzy set. Hesitant fuzzy entropy and hesitant fuzzy linguistic term set based entropy presents a more comprehensive evaluation of vague information. In the vague situations of multiple-criteria decision-making, entropy measure is utilized to compute the objective weights of attributes. The weights obtained due to entropy measures are not reasonable in all the situations. To model such situation, a knowledge measure is very significant, which is a structural dual to entropy. A fuzzy knowledge measure determines the level of precision in a fuzzy set. This article introduces the concept of a knowledge measure for hesitant fuzzy linguistic term sets (HFLTS) and show how it may be derived from HFLTS distance measures. Authors also investigate its application in determining the weights of criteria in multi-criteria decision-making (MCDM).","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43932298","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: 1
Neuro-Fuzzy-Based Routing Mechanism for Effective Communication in 6LoWPAN-Based IoT Infrastructure 基于6lowpan的物联网基础设施中有效通信的神经模糊路由机制
International Journal of Fuzzy System Applications Pub Date : 2022-01-01 DOI: 10.4018/ijfsa.306280
B. Revathi, K. Arulanandam
{"title":"Neuro-Fuzzy-Based Routing Mechanism for Effective Communication in 6LoWPAN-Based IoT Infrastructure","authors":"B. Revathi, K. Arulanandam","doi":"10.4018/ijfsa.306280","DOIUrl":"https://doi.org/10.4018/ijfsa.306280","url":null,"abstract":"","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":"11 1","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70457834","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
BERT Tokenization and Hybrid-Optimized Deep Recurrent Neural Network for Hindi Document Summarization 用于印地语文档摘要的BERT标记化和混合优化深度递归神经网络
International Journal of Fuzzy System Applications Pub Date : 2022-01-01 DOI: 10.4018/ijfsa.313601
Sumalatha Bandari, Vishnu Vardhan Bulusu
{"title":"BERT Tokenization and Hybrid-Optimized Deep Recurrent Neural Network for Hindi Document Summarization","authors":"Sumalatha Bandari, Vishnu Vardhan Bulusu","doi":"10.4018/ijfsa.313601","DOIUrl":"https://doi.org/10.4018/ijfsa.313601","url":null,"abstract":"Text summarization generates a concise summary of the available information by determining the most relevant and important sentences in the document. In this paper, an effective approach of document summarization is developed for generating summary of Hindi documents. The developed deep learning-based Hindi document summarization system comprises of a number of phases, such as input data acquisition, tokenization, feature extraction, score generation, and sentence extraction. Here, a deep recurrent neural network (Deep RNN) is employed for generating the scores of the sentences based on the significant features, wherein the weights and learning parameters of the deep RNN are updated by using the devised coot remora optimization (CRO) algorithm. Moreover, the developed CRO-Deep RNN is examined for its efficacy considering metrics, like recall-oriented understudy for gisting evaluation (ROUGE), recall, precision, and f-measure, and is found to have attained values of 80.896%, 95.700%, 95.051%, and 95.374%, respectively.","PeriodicalId":38154,"journal":{"name":"International Journal of Fuzzy System Applications","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46526494","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信