{"title":"Accuracy in Parallel Dynamic Task Allocation for Multi-Robot Systems Under Fuzzy Environment","authors":"Hamza Teggar, Senouci Mohamed, F. Debbat","doi":"10.4018/IJFSA.2021040101","DOIUrl":"https://doi.org/10.4018/IJFSA.2021040101","url":null,"abstract":"Making the right decision is an essential requirement for the task allocation process in multi-robot systems functioning in dynamic environments. Robots are often forced to make these decisions individually without any communication between them. It may be due to reasons related to uncertainty in environments or related to tasks security, such as military applications. However, robot decisions must be precise in order to increase their efficiency to perform complex tasks. This paper presents a model in which a criterion of accuracy in tasks allocation process in an uncertain environment is defined. In order to increase this precision in such environments, the robots will formulate their observations in terms of the fuzzy linguistic variables. These variables are used by a fuzzy inference system to determine a utility value of a task that most effectively increases accuracy in task allocation. Simulation results on a complex task of goods transportation by mobile robots are presented to demonstrate the effectiveness of this model.","PeriodicalId":233724,"journal":{"name":"Int. J. Fuzzy Syst. Appl.","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115741644","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}
{"title":"On Generalized Correlation Coefficients of Picture Fuzzy Sets With Their Applications","authors":"Surender Singh, A. Ganie, Sumita Lalotra","doi":"10.4018/IJFSA.2021040104","DOIUrl":"https://doi.org/10.4018/IJFSA.2021040104","url":null,"abstract":"Picture fuzzy sets (PFSs) play a crucial role in uncertain/vague environments than intuitionistic fuzzy sets (IFSs) which do not take into consideration the degree of neutrality of an element. In this paper, the authors have proposed generalized correlation coefficients of PFSs along with some properties. The effectiveness and application of the proposed generalized correlation coefficients of PFSs in pattern recognition and multi-attribute decision making (MADM) is also discussed with the help of numerical examples.","PeriodicalId":233724,"journal":{"name":"Int. J. Fuzzy Syst. Appl.","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117282363","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}
{"title":"Some Information Measures for Fuzzy Rough Sets","authors":"Omdutt Sharma, Pratiksha Tiwari, Priti Gupta","doi":"10.4018/IJFSA.2021040105","DOIUrl":"https://doi.org/10.4018/IJFSA.2021040105","url":null,"abstract":"Information theory is a tool to measure uncertainty; these days, it is used to solve various challenging problems that involve hybridization of information theory with the fuzzy set, rough sets, vague sets, etc. In order to solve challenging problems in scientific data analysis and visualization recently, various authors are working on hybrid measures of information theory. In this paper, using the relation between information measures, some measures are proposed for the fuzzy rough set. Firstly, an entropy measure is derived using the fuzzy rough similarity measure, and then corresponding to this entropy measure, some other measures like mutual information measure, joint entropy measure, and conditional entropy measure are also proposed. Some properties of these measures are also studied. Later, the proposed measure is compared with some existing measures to prove its efficiency. Further, the proposed measures are applied to pattern recognition, medical diagnoses, and a real-life decision-making problem for incorporating software in the curriculum at the Department of Statistics.","PeriodicalId":233724,"journal":{"name":"Int. J. Fuzzy Syst. Appl.","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129278458","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}
{"title":"An Integrated Fuzzy Multi-Criteria Approach for E-Waste Collection Center Location Problem","authors":"Bersam Bolat, Irem Otay, G. T. Temur, Sükrü Imre","doi":"10.4018/IJFSA.2021040102","DOIUrl":"https://doi.org/10.4018/IJFSA.2021040102","url":null,"abstract":"Selection of locations for collecting end of life goods is a multi-dimensional problem. In this study, the objective is to propose a hybrid multi-criteria decision model for e-waste collection center location selection problem employing an integrated Pythagorean fuzzy AHP (analytical hierarchy process)-VIKOR (multi-criteria optimization and compromise solution) methodology. A case study from Turkish e-waste recycling industry is conducted in order to verify the success of the proposed methodology. Thirty-nine alternative collection center districts are evaluated and ranked by employing Pythagorean fuzzy VIKOR based on “cost, logistics, environment, socio-culture, and population” and 11 sub-criteria. The study involves 39 e-waste collection location centers, and the model was solved for 50 times for 10 scenarios for each criterion. The results of sensitivity analysis indicate that the evaluation of criteria and determination of their weights have critical effects on the results.","PeriodicalId":233724,"journal":{"name":"Int. J. Fuzzy Syst. Appl.","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122670090","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}
{"title":"Enhancing the Mobility Support in Internet of Things","authors":"Sankar Sennan, P. Srinivasan","doi":"10.4018/ijfsa.2020100101","DOIUrl":"https://doi.org/10.4018/ijfsa.2020100101","url":null,"abstract":"Improving mobility support is a crucial task in low power and lossy networks (LLN). This article proposes an enhanced mobility support routing protocol (EM-RPL) to improve the mobility support for LLN. It has two processes, static node parent selection, and mobile node parent selection. The static node parent selection process uses the routing metrics, residual energy (RER), and load to choose the optimal parent for data transfer. The mobile node parent selection process has two phases, data transmission, and route discovery. Its handoff decision calculates from the received signal strength (RSSI) and packet error ratio (PER). The simulation is conducted using COOJA simulator. The performance of EM-RPL is compared with similar routing protocols. The simulation result shows that EM-RPL gives significant performance in terms of power consumption, latency, packet delivery ratio and packet overhead.","PeriodicalId":233724,"journal":{"name":"Int. J. Fuzzy Syst. Appl.","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122418911","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}
{"title":"Task Allocation Model Based on Hierarchical Clustering and Impact of Different Distance Measures on the Performance","authors":"H. Kumar, Isha Tyagi","doi":"10.4018/ijfsa.2020100105","DOIUrl":"https://doi.org/10.4018/ijfsa.2020100105","url":null,"abstract":"This article observed a new strategy to the problem of tasks clustering and allocation for very large distributed real-time problems, in which software is consolidated hierarchically and hardware potentially spans various shared or dedicated links. Here, execution and communication times have been considered as a number. Existing strategies for tasks clustering and allocation are based on either executability or communication. This study's analytical model is a recurrence conjuration of two stages: formation of clusters and clusters allocation. A modified hierarchical clustering (MHC) algorithm is derived to cluster high communicated tasks and also an algorithm is developed for proper allocation of task clusters onto suitable processors in order to achieve optimal fuzzy response time and fuzzy system. Yang's and Hamming's distances are taken to demonstrate the impact of distance measures on the performance of the proposed model.","PeriodicalId":233724,"journal":{"name":"Int. J. Fuzzy Syst. Appl.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129508839","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}
{"title":"Novel Divergence Measure Under Neutrosophic Environment and Its Utility in Various Problems of Decision Making","authors":"Adeeba Umar, R. Saraswat","doi":"10.4018/ijfsa.2020100104","DOIUrl":"https://doi.org/10.4018/ijfsa.2020100104","url":null,"abstract":"This article develops a novel divergence measure for single valued neutrosophic sets with its validity proof to overcome the incapability of the existing divergence measures. The properties of proposed novel divergence measure for single valued neutrosophic sets are also discussed. Practical applications of proposed novel divergence measure for decision making in company selection and medical investigation are demonstrated through numerical illustrations. The comparison of novel divergence measure with the existing divergence measures under a neutrosophic environment is presented and the verification of validity test criteria is given to show that the proposed novel divergence measure is more intelligible and viable which works effectively than the other existing ones.","PeriodicalId":233724,"journal":{"name":"Int. J. Fuzzy Syst. Appl.","volume":"270 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122755405","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}
{"title":"Efficient Data Access Control for Cloud Computing With Large Universe and Traceable Attribute-Based Encryption","authors":"G. Kumar","doi":"10.4018/ijfsa.2020100103","DOIUrl":"https://doi.org/10.4018/ijfsa.2020100103","url":null,"abstract":"Ciphertext-policy attribute-based encryption (CP-ABE) schemes provide fine-grained access control for the data stored in cloud computers. However, commercial CP-ABE applications need a new encryption scheme for providing two properties such as: supporting large universe attribute and traceability. First, a large universe attribute allows the attribute authority to use any number of attributes in the system. i.e., the attribute universe is dynamic, and it is not fixed at the setup phase. Second, traceable CP-ABE systems trace the dishonest users who intentionally leak the private key for their profit. In this article, a large universe CP-ABE system with white box traceability has been proposed. The attribute universe of the proposed technique is exponentially larger, and it is polynomially unbound. Further, this technique will trace the identity of users who involve in malicious activities. In addition, the proposed scheme can express any kind of monotonic tree access policies into linear secret sharing structure (LSSS). Compared with the existing schemes that are presented to achieve the same property, proposed scheme has achieved better experimental results and so it is applicable for commercial applications.","PeriodicalId":233724,"journal":{"name":"Int. J. Fuzzy Syst. Appl.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117237725","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}
N. A. Khan, O. A. Razzaq, Avishek Chakraborty, S. Mondal, S. Alam
{"title":"Measures of Linear and Nonlinear Interval-Valued Hexagonal Fuzzy Number","authors":"N. A. Khan, O. A. Razzaq, Avishek Chakraborty, S. Mondal, S. Alam","doi":"10.4018/ijfsa.2020100102","DOIUrl":"https://doi.org/10.4018/ijfsa.2020100102","url":null,"abstract":"In the view of significant exposure of multifarious interval-valued fuzzy numbers in neoteric studies, different measures of interval-valued generalized hexagonal fuzzy numbers (IVGHFN) associated with assorted membership functions (MF) are explored in this article. Considering the symmetricity and asymmetricity of the hexagonal fuzzy structures, the idea of MF is generalized a bit more, to nonlinear membership functions. The construction of level sets, accordingly for each case of linear and nonlinear MF are also carried out. In addition, the concepts of generalized Hukuhara (gH) differentiability for the interval-valued generalized hexagonal fuzzy functions (IVGHFF) are also the main features of this framework. Illustratively, the developed intellects are implemented on a logistic population growth problem, by taking ecological functions as IVGHFFs. For the further numerical demonstrations of the model, artificial neural network with simulated annealing (ANNSA) algorithm is utilized.","PeriodicalId":233724,"journal":{"name":"Int. J. Fuzzy Syst. Appl.","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122401954","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}