Fuzzy Information and Engineering最新文献_第5页

Hexadecagonal Fuzzy Numbers: Novel Ranking and Defuzzification Techniques for Fuzzy Matrix Game Problems 六边形模糊数:模糊矩阵博弈问题的新排序和去模糊化技术

IF 1.2

Fuzzy Information and Engineering Pub Date : 2022-01-02 DOI: 10.1080/16168658.2021.2019969

V. Jangid, Ganesh Kumar

引用次数: 4

A Soft-Computing Approach to Fuzzy EOQ Model for Deteriorating Items with Partial Backlogging 部分积压劣化物品模糊EOQ模型的软计算方法

IF 1.2

Fuzzy Information and Engineering Pub Date : 2022-01-02 DOI: 10.1080/16168658.2021.1915457

Pallavi Agarwal, Ajay Sharma, Neeraj Kumar

引用次数: 2

A Hybrid Method for Recommendation Systems based on Tourism with an Evolutionary Algorithm and Topsis Model 基于进化算法和Topsis模型的旅游推荐系统混合方法

IF 1.2

Fuzzy Information and Engineering Pub Date : 2022-01-02 DOI: 10.1080/16168658.2021.2019430

Saman Forouzandeh, M. Rostami, Kamal Berahmand

引用次数: 34

Multilayer Decision-Based Fuzzy Logic Model to Navigate Mobile Robot in Unknown Dynamic Environments 基于多层决策的模糊逻辑模型在未知动态环境中导航移动机器人

IF 1.2

Fuzzy Information and Engineering Pub Date : 2021-12-28 DOI: 10.1080/16168658.2021.2019432

Farah Kamil, Mohammed Yasser Moghrabiah

{"title":"Multilayer Decision-Based Fuzzy Logic Model to Navigate Mobile Robot in Unknown Dynamic Environments","authors":"Farah Kamil, Mohammed Yasser Moghrabiah","doi":"10.1080/16168658.2021.2019432","DOIUrl":"https://doi.org/10.1080/16168658.2021.2019432","url":null,"abstract":"The investigation into mobile robot navigation under uncertain dynamic environments is of great significance. This paper seeks to solve the current problems which are the difficulty to plan in indeterminate ever-changing environments, the problem of optimality, failure in complex situations, and the problem of predicting the obstacle velocity vector. The objective of this study is to propose a multilayer decision-based fuzzy logic model to find the solution for robot navigation through a safe path while preventing any types of barriers and to understand the non-collision mobile robots’ movement in an unknown dynamic environment. In this study, the prediction and priority rules of a multilayer decision are used by the fuzzy logic controller to improve the quality of the next position with regard to its path length, safety, and runtime. The results of comparison studies revealed a considerable improvement in failure rate and path length. Outcomes show that the suggested method displays attractive features, for instance, great stability, great optimality, zero failure rates, and low running time. The average path length for all test environments is 13.11 with 0.47 a standard deviation that provides 89% of an average optimality rate. The average running time is about 5.31 s with a 0.25 standard deviation.","PeriodicalId":37623,"journal":{"name":"Fuzzy Information and Engineering","volume":"31 2 1","pages":"51 - 73"},"PeriodicalIF":1.2,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74327154","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: 7

Intuitionistic Fuzzy Hub Location Problems: Model and Solution Approach 直觉模糊轮毂定位问题:模型与求解方法

IF 1.2

Fuzzy Information and Engineering Pub Date : 2021-12-27 DOI: 10.1080/16168658.2021.2019434

M. Niksirat

引用次数: 1

Comparison and Evaluation of Built Environment Factors for Developing Pedestrian Urban Travels 发展城市步行旅游的建成环境因素比较与评价

IF 1.2

Fuzzy Information and Engineering Pub Date : 2021-10-02 DOI: 10.1080/16168658.2021.2002664

M. Nabipour, S. H. Nasseri, Elnaz Tavakoli Saber

{"title":"Comparison and Evaluation of Built Environment Factors for Developing Pedestrian Urban Travels","authors":"M. Nabipour, S. H. Nasseri, Elnaz Tavakoli Saber","doi":"10.1080/16168658.2021.2002664","DOIUrl":"https://doi.org/10.1080/16168658.2021.2002664","url":null,"abstract":"Summary: This study examines the impacts of the built environment on pedestrian urban travels using a fuzzy AHP approach, by taking into account fifteen different variables based on three criteria: network design, environment, and safety. We gathered data from academic and industry experts using a fuzzy-based pairwise comparative survey. Advantage: We adopt two methods for selecting high-priority variables. The average value of cumulative weights, which prioritise variables with a weight greater than the average value, and a variation weights values analysis that divides variables into three groups as high, medium, and low priority depending on the weight pattern slope’s breaking points. The findings indicate that the weights variation approach is more effective. Limit: Because the survey statistical population comprised both academic and industrial experts, a significant amount of effort was spent identifying qualified candidates and gathering the necessary data. Results: The results prioritise effective variables including level of stress, lighting, obstacles on sidewalks, width of sidewalk, sidewalk surface quality, pedestrian bridges, cleanness and density of green areas, access to public transportation, intersection traffic controls, and walking utilities. Furthermore, the findings show that by growing policies on the variables of high and medium priority, up to 68 percent of the objective function can be achieved pedestrian urban commuting will significantly improve.","PeriodicalId":37623,"journal":{"name":"Fuzzy Information and Engineering","volume":"25 1","pages":"505 - 521"},"PeriodicalIF":1.2,"publicationDate":"2021-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86170197","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

Solvability, Supersolvability and Schreier Refinement Theorem for L-Subgroups l -子群的可解性、超可解性及Schreier细化定理

IF 1.2

Fuzzy Information and Engineering Pub Date : 2021-10-02 DOI: 10.1080/16168658.2021.1997444

N. Ajmal, I. Jahan, B. Davvaz

引用次数: 1

Solving Multiobjective Linear Programming Problems with Interval Parameters 求解区间参数多目标线性规划问题

IF 1.2

Fuzzy Information and Engineering Pub Date : 2021-10-02 DOI: 10.1080/16168658.2021.2002544

S. Rivaz, Z. Saeidi

引用次数: 3

Optimisation of Thresholds in Probabilistic Rough Sets with Artificial Bee Colony Algorithm 基于人工蜂群算法的概率粗糙集阈值优化

IF 1.2

Fuzzy Information and Engineering Pub Date : 2021-10-02 DOI: 10.1080/16168658.2021.2002665

T. Soumya, M. Sabu

{"title":"Optimisation of Thresholds in Probabilistic Rough Sets with Artificial Bee Colony Algorithm","authors":"T. Soumya, M. Sabu","doi":"10.1080/16168658.2021.2002665","DOIUrl":"https://doi.org/10.1080/16168658.2021.2002665","url":null,"abstract":"The Probabilistic Rough Sets (PRS) theory determines the certainty of an object's inclusion into a class, resulting in the division of the entire data set into three regions under a concept. These regions, namely the positive, negative and boundary regions, are generated using an evaluation function and threshold values. The threshold optimisation and the construction and interpretation of an evaluation function offer various methods in the background. Even though most of the methods in the PRS follow an iterative strategy, they lack a common framework, usually affecting the comparison and overall performance evaluation among these methods. This proposed work aims to minimise the uncertainty in three regions via optimising the thresholds using the Artificial Bee Colony (ABC) algorithm. The ABC algorithm is adapted to generate a common framework that results in different optimal pairs of thresholds with a minimum number of iterations. By considering the probabilistic information about an equivalence class structure, we compare the results obtained from the proposed approach with the state-of-the-art methods like Information-Theoretic Rough Sets, Game-Theoretic Rough sets and Genetic Algorithm-based optimisation. The results reveal that the proposed algorithm outperforms existing techniques and leads to a superior method for threshold optimisation in the PRS.","PeriodicalId":37623,"journal":{"name":"Fuzzy Information and Engineering","volume":"34 1","pages":"522 - 539"},"PeriodicalIF":1.2,"publicationDate":"2021-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77537884","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

Distributed Probabilistic Fuzzy Rule Mining for Clinical Decision Making 临床决策的分布式概率模糊规则挖掘

IF 1.2

Fuzzy Information and Engineering Pub Date : 2021-10-02 DOI: 10.1080/16168658.2021.1978803

Samane Sharif, M. Akbarzadeh-T.

{"title":"Distributed Probabilistic Fuzzy Rule Mining for Clinical Decision Making","authors":"Samane Sharif, M. Akbarzadeh-T.","doi":"10.1080/16168658.2021.1978803","DOIUrl":"https://doi.org/10.1080/16168658.2021.1978803","url":null,"abstract":"INTRODUCTION: With the growing size, complexity, and distributivity of databases, efficiency and scalability have become highly desirable attributes of data mining algorithms in decision support systems. OBJECTIVES: This study aims for a computational framework for clinical decision support systems that can handle inconsistent dataset while also being interpretable and scalable. METHODS: This paper proposes a Distributed Probabilistic Fuzzy Rule Mining (DPFRM) algorithm that extracts probabilistic fuzzy rules from numerical data using a self-organizing multi-agent approach. This agent-based method provides better scalability and fewer rules through agent interactions and rule-sharing. RESULTS: The performance of the proposed approach is investigated on several UCI medical datasets. The DPFRM is also used for predicting the mortality rate of burn patients. Statistical analysis confirms that the DPFRM significantly improves burn mortality prediction by at least 3%. Also, the training time is improved by 17% if implemented by a parallel computer. However, this speedup decreases with increased distributivity, due to the added communication overhead. CONCLUSION: The proposed approach can improve the accuracy of decision making by better handling of inconsistencies within the datasets. Furthermore, noise sensitivity analysis demonstrates that the DPFRM deteriorates more robustly as the noise levels increase.","PeriodicalId":37623,"journal":{"name":"Fuzzy Information and Engineering","volume":"30 1","pages":"436 - 459"},"PeriodicalIF":1.2,"publicationDate":"2021-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81181813","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