Fuzzy Information and Engineering最新文献

A Multi-Level Multi-Objective Integer Quadratic Programming Problem under Pentagonal Neutrosophic Environment 五边形中性环境下的多级多目标整数二次规划问题

Fuzzy Information and Engineering Pub Date : 2023-11-01 DOI: 10.26599/fie.2023.9270025

N. M. Bekhit, O. E. Emam, Laila Abd Elhamid

引用次数: 0

Conglomerate Stratum Model for Categorization of Malware Family in Image Processing 图像处理中恶意软件族分类的砾岩层模型

Fuzzy Information and Engineering Pub Date : 2023-09-01 DOI: 10.26599/fie.2023.9270016

Rupali Komatwar, Manesh Kokare

{"title":"Conglomerate Stratum Model for Categorization of Malware Family in Image Processing","authors":"Rupali Komatwar, Manesh Kokare","doi":"10.26599/fie.2023.9270016","DOIUrl":"https://doi.org/10.26599/fie.2023.9270016","url":null,"abstract":"In recent years, there has been an enormous increase in the volume of malware generation and the classification of malware samples plays a crucial role in building and maintaining security. Hence, there is a need to explore new approaches to overcome the limitations of malware classification such as pre-combustion, peculiarity eradication, and categorization. To overcome these issues, this paper proposes a novel Conglomerate Stratum Model (CSM), which categorizes them into groups and identifies their respective families based on their behavior. Initially, the precombustion process used Triad Seeped Technique (TST) in which the image is first regularized by applying ripples. Secondly, we introduced a Quatrain Layer Method (QLM) to upgrade the robustness of malware image features in peculiarity eradication. Then the specific output of the quatrain layer is given to Acclimatized Patronage Scheme (APS) for categorization, and this process effectively classifies the malware types with greater accuracy. The results demonstrate that our model can achieve 99.41% accuracy in classifying malware samples. Also, the values of sensitivity, precision, negative predictive, and recall are higher than 0.9 with the false-negative rate of 0.04, and the false-positive rate 0.003 proving the model to be optimistic. The experimental comparison demonstrates its superior performance concerning state-of-the-art techniques.","PeriodicalId":37623,"journal":{"name":"Fuzzy Information and Engineering","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134917204","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

Certain Concepts in Directed Rough Fuzzy Graphs and Application to Mergers of Companies 有向粗糙模糊图中的若干概念及其在公司合并中的应用

Fuzzy Information and Engineering Pub Date : 2023-09-01 DOI: 10.26599/fie.2023.9270019

Iqra Nawaz, Uzma Ahmad

{"title":"Certain Concepts in Directed Rough Fuzzy Graphs and Application to Mergers of Companies","authors":"Iqra Nawaz, Uzma Ahmad","doi":"10.26599/fie.2023.9270019","DOIUrl":"https://doi.org/10.26599/fie.2023.9270019","url":null,"abstract":"A directed rough fuzzy graph (DRFG) is a unique and innovative hybrid model because it deals with more complex problems of uncertainty in the presence of incomplete data information or rough universe. A DRFG can be obtained from two given DRFGs by union, Cartesian product and composition. When we study operations for DRFGs with a large number of vertices, the degree of vertices in a DRFG presents a confusing picture. Therefore, a mechanism for determining the degree of vertices for DRFG operations is needed. The main objective of this study is to analyze and investigate the degree of vertices in DRFGs formed by certain operations, which will provide clear explanations of operations on DRFGs and their effects on vertex degrees with examples. In this paper, we find the degree of a vertex in DRFGs formed by these operations in terms of the degree of vertices in the given DRFGs in some special cases. We explain these operations with some examples. In addition, we provide an application to the corporate merger problem to test our approach and obtain an optimal result. We have developed two algorithms to elaborate the procedure for our application. Finally, we created a comparison table comparing our results for Algorithms 1 and 2 for the same enterprise merger network.","PeriodicalId":37623,"journal":{"name":"Fuzzy Information and Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134915623","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 Study on Hutchinson-Barnsley Theory in Product Intuitionistic Fuzzy Fractal Space 产品直觉模糊分形空间中的Hutchinson-Barnsley理论研究

Fuzzy Information and Engineering Pub Date : 2023-09-01 DOI: 10.26599/fie.2023.9270018

Mathavan Priya, Ramasamy Uthayakumar

引用次数: 0

Deterministic Discounted Markov Decision Processes with Fuzzy Rewards/Costs 具有模糊奖励/成本的确定性折现马尔可夫决策过程

Fuzzy Information and Engineering Pub Date : 2023-09-01 DOI: 10.26599/fie.2023.9270020

Hugo Cruz-Suárez, Raúl Montes-de-Oca, R. Israel Ortega-Gutiérrez

{"title":"Deterministic Discounted Markov Decision Processes with Fuzzy Rewards/Costs","authors":"Hugo Cruz-Suárez, Raúl Montes-de-Oca, R. Israel Ortega-Gutiérrez","doi":"10.26599/fie.2023.9270020","DOIUrl":"https://doi.org/10.26599/fie.2023.9270020","url":null,"abstract":"The article concerns a study of infinite-horizon deterministic Markov decision processes (MDPs) for which the fuzzy environment will be presented through considering these MDPs with both fuzzy rewards and fuzzy costs. Specifically, these rewards and costs will be assumed of a suitable trapezoidal type. For both classes of MDPs, i.e., MDPs with fuzzy rewards and MDPs with fuzzy costs, the fuzzy total discounted function will be taken into account as the objective function, and the corresponding optimal decision problems will be considered with respect to the max order of the fuzzy numbers. For each optimal decision problem, the optimal policy and the optimal value function are related and obtained as a solution of a convenient standard MDP (i.e., a standard MDP is an MDP with a non-fuzzy reward function or a non-fuzzy cost function). Moreover, an economic growth model (EGM), a deterministic version of the linear-quadratic model (LQM), and an optimal consumption model (OCM) in order to clarify the theory presented are given, and it is remarked that these models have uncountable state spaces, and the corresponding non-fuzzy version of both the EGM and the OCM has an unbounded reward function, and the corresponding non-fuzzy version of the LQM has an unbounded cost function.","PeriodicalId":37623,"journal":{"name":"Fuzzy Information and Engineering","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134917205","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 and Uniqueness of Solutions for Fuzzy Boundary Value Problems Under Granular Differentiability 颗粒可微下模糊边值问题解的存在唯一性

Fuzzy Information and Engineering Pub Date : 2023-09-01 DOI: 10.26599/fie.2023.9270021

Nagalakshmi Soma, Grande Suresh Kumar, Ravi Prakash Agarwal, Chao Wang, Madhunapantula Surya Narayana Murty

引用次数: 0

Resolution of Fuzzy Relation Equations with Constraints 带约束的模糊关系方程的求解

Fuzzy Information and Engineering Pub Date : 2023-09-01 DOI: 10.26599/fie.2023.9270017

Xueyan Xu

引用次数: 0

Complex Hesitant Fuzzy Graph 复犹豫模糊图

IF 1.2

Fuzzy Information and Engineering Pub Date : 2023-06-01 DOI: 10.26599/fie.2023.9270010

Eman A. AbuHijleh

引用次数: 1

An Adaptive Fuzzy Inference System Model to Analyze Fuzzy Regression with Quadratic Programming and Fuzzy Weights Incorporating Uncertainty in the Observed Data 考虑观测数据不确定性的二次规划模糊权重模糊回归分析的自适应模糊推理系统模型

IF 1.2

Fuzzy Information and Engineering Pub Date : 2023-06-01 DOI: 10.26599/fie.2023.9270008

M. Danesh, S. Danesh, A. Maleki, T. Razzaghnia

引用次数: 0

T-Fuzzy Subhypernear-Modules 并不毛茸茸Subhypernear-Modules

IF 1.2

Fuzzy Information and Engineering Pub Date : 2023-06-01 DOI: 10.26599/fie.2023.9270013

S. Onar, B. A. Ersoy, K. Hila, B. Davvaz

引用次数: 0