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The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines.
The journal will publish original articles on current and potential applications, case studies, and education in intelligent systems, fuzzy systems, and web-based systems for engineering and other technical fields in science and technology. The journal focuses on the disciplines of computer science, electrical engineering, manufacturing engineering, industrial engineering, chemical engineering, mechanical engineering, civil engineering, engineering management, bioengineering, and biomedical engineering. The scope of the journal also includes developing technologies in mathematics, operations research, technology management, the hard and soft sciences, and technical, social and environmental issues.
Authors: Gong, Yanbing | Yang, Shuxin | Dai, Liangliang
Article Type: Research Article
Abstract: In many applications, we need to numerically express the difference of two objects (notions) by means of distance and similarity between the corresponding interval type-2 fuzzy sets (IT2 FSs). In this paper, we propose two new signed distances between interval type-2 trapezoidal fuzzy numbers (IT2 TrFNs) and some properties of their have been introduced. We also give an approach to construct similarity measures using the signed distance for IT2 TrFNs. Several illustrative examples are given to demonstrate the practicality and effectiveness of the proposed measures.
Keywords: Interval type-2 fuzzy numbers, signed distance, similarity measure
DOI: 10.3233/JIFS-17671
Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3465-3475, 2018
Authors: Godoy, Leoni Pentiado | Dos Santos, Antônio Vanderlei | Cardoso da Silva, Deoclécio J. | Bohrz, Sergio Renato | Da Silva Wegner, Roger | Casarin, Vanusa Andrea
Article Type: Research Article
Abstract: Currently, the concern with renewable resources has led the society to create several initiatives to approach the subject, proposing viable solutions. One of the biggest challenges is the conservation of the environment due to its unbridled degradation. Thus, companies must act in an ecologically responsible way so as not to threaten future survival, thus contributing to sustainable development. The present study applied the FAHP method to optimize the processes aiming to eliminate production bottlenecks in the manufacture of concrete blocks with the use of foundry sand from a metalworking industry located in the South of Brazil. Results demonstrated that the …prioritized alternatives were transportation outsourcing (24.24%), while the analysis of toxicity and resistance within the norms obtained the same prioritization (22.38%), these alternatives contributed to suppress the bottleneck of production process. The industry hired a third party company with reference in the market, so there was no involvement with labor laws, in addition, the analysis of toxicity contributed with reduction costs and wasted time; consequently, reducing in 100% the chance of Contamination, due to the adoption of correct practices. Resistance within the norms helped in the reduction of the rework (98%) due to breaks and chipping. The improvements found through the FAHP method were achieved through the degree of importance of alternatives, in order to maximize the profit of the industry. Show more
Keywords: Concrete blocks, productive process, decision making
DOI: 10.3233/JIFS-17729
Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3477-3491, 2018
Authors: Mohammadi, Mehdi | Soleymani, Soodabeh | Niknam, Taher | Amraee, Turaj
Article Type: Research Article
Abstract: This paper presents some capabilities of automation system from distribution planning and operation points of view. In this regard, the optimized switch placement and Distribution Feeder Reconfiguration (DFR) strategies are applied to the network to investigate the reliability of the system based on failure rate reduction. The objective functions to be minimized are the total switch cost in switch placement problem and System Average Interruption Frequency Index (SAIFI); System Average Interruption Duration Index (SAIDI) and active power loss as well as voltage deviation from nominal in the feeder reconfiguration problem. Also, through this analysis and by selecting the location of …capacitors as well as ON/OFF status of the placed switched capacitors and tap position of Under Load Tap Changer (ULTC) transformers as control variables, the concepts of capacitor placement and Volt/Var Control (VVC) are evaluated. The problems are solved by using the Modified Social Spider Optimization (MSSO) algorithm as a proper method to solve the mixed-integer nonlinear programming problem. The proposed distribution automation planning and operation strategies are applied to a 69 bus IEEE distribution test system and simulation results are demonstrated and discussed. Show more
Keywords: Distribution automation, switch placement strategy, feeder reconfiguration strategy, reliability enhancement, failure rate reduction approach, capacitor placement, volt/var control
DOI: 10.3233/JIFS-17939
Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3493-3506, 2018
Authors: Akram, Muhammad | Zafar, Fariha
Article Type: Research Article
Abstract: Due to the uncertainty of real world problems and the limitation of human’s knowledge to understand the complex problems, it is very difficult for one to apply only a single type of uncertainty method to cope with such problems. One can develop a more powerful new model to solve decision making problems by incorporating the advantages of many other different theories of uncertainty. Fuzzy sets, soft sets and rough sets are very useful mathematical models for dealing with uncertainty. Combinations of these models result into several useful hybrid models. In view of this, in this research paper, the concepts and …methods of rough soft sets and fuzzy sets are used to construct a new soft rough fuzzy set model. We employ the concept of soft rough fuzzy sets to graphs and investigate some properties of this model. We apply this new model to describe and resolve some multi-criteria decision-making problems. Show more
Keywords: Soft rough fuzzy relation, soft rough fuzzy digraph, decision-making, 03E72, 68R10, 68R05
DOI: 10.3233/JIFS-18017
Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3507-3528, 2018
Authors: Chen, Ting-Yu
Article Type: Research Article
Abstract: The aim of this paper is to develop a novel correlation-based compromise approach for addressing multiple criteria decision analysis problems under complex uncertainty based on Pythagorean fuzzy sets. Based on the concepts of information energy and correlations for Pythagorean fuzzy characteristics, this paper proposes useful correlation-based compromise indices and investigates their desirable properties. These compromise indices can be employed to underlie anchored judgments and to reflect a certain balance between the correlations with positive-ideal and negative-ideal points of reference. Moreover, they can fully take into consideration the amount of information associated with higher degrees of uncertainty and can effectively fuse …subjective assessments conveyed by Pythagorean fuzziness. From two different perspectives of displaced and fixed ideals, this paper provides two algorithmic procedures of the proposed correlation-based compromise approach for conducting multiple criteria evaluation tasks within Pythagorean fuzzy environments. A real-world problem concerning a financing decision on working capital policies is investigated to show the feasibility and applicability of the developed techniques. The application results, along with a comparative analysis, demonstrate the practicality and effectiveness of the proposed methodology. Show more
Keywords: Compromise approach, multiple criteria decision analysis, Pythagorean fuzzy set, correlation-based compromise index, financing decision
DOI: 10.3233/JIFS-18021
Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3529-3541, 2018
Authors: Luo, Sheng
Article Type: Research Article
Abstract: The study of attribute reductions is one of the main problems in information systems. In this paper, multi-granulation variable precision rough set (for short, MVPRS) model is introduced. Several kinds of attribute reduction in an inconsistent decision information system based on this model are proposed. Relationships among these attribute reductions given. Some examples are given to illustrate that the unmentioned relationships among these attribute reductions are often not maintained.
Keywords: Multi-granulation, MVPRS, inconsistent decision information system, distribution reduction
DOI: 10.3233/JIFS-18037
Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3543-3552, 2018
Authors: Qin, Bin
Article Type: Research Article
Abstract: In this paper, based on a type-2 fuzzy set, structures of fuzzy truth values on a linearly ordered set are investigated. Some special type-2 fuzzy sets are first presented. Then, rough approximations of fuzzy truth values based on a type-2 fuzzy set are introduced. Next, topological and rough structures of fuzzy truth values based on a type-2 fuzzy set are obtained. Finally, rough equal relations of fuzzy truth values based on a type-2 fuzzy set are proposed. These results will be helpful for the study of type-2 fuzzy sets.
Keywords: Type-2 fuzzy sets, fuzzy truth values, structures, fuzzy topologies, rough approximations, rough equal relations
DOI: 10.3233/JIFS-18082
Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3553-3566, 2018
Authors: Zhao, Xiao-Fei | Guo, Xiu-Ping
Article Type: Research Article
Abstract: The scheduling problem of cyclic multi-type parts robotic cell with blocking is studied in this paper. For simultaneously optimizing robotic move sequence and part input sequence, an effective chemical reaction optimization (ECRO) is proposed. In ECRO, a new encoding method, robotic activity encoding, is shown for transferring double sequence into single sequence. To construct feasible solution, a novel rule, order insertion (OI) rule, is presented. To obtain initial population more effectively, insertion robotic activity method (IRAM) is firstly addressed. What’s more, for enhancing the efficiency of ECRO, elementary reaction operators are designed according to properties of feasible solutions. From the …simulation results, compare to stochastic generated solution method (SGSM), IRAM is outstanding. The performance of ECRO is better than branch and bound (BB) method and beam search (BS) algorithm. Show more
Keywords: Robotic cell, chemical reaction optimization, OI rule, IRAM
DOI: 10.3233/JIFS-18096
Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3567-3579, 2018
Authors: Batur Sir, G. Didem
Article Type: Research Article
Abstract: Multi-criteria decision making (MCDM) is a discipline in which several contradictory criteria are evaluated in a decision making process. There are many MCDM techniques described in the literature, and important considerations have been made in this area because the hesitant evaluations of decision makers, regarding both the criteria and the alternatives, have to be taken into consideration. This study focuses on the MCDM problem using axiomatic design (AD), which is one of the "state of the art" and efficient MCDM techniques related to hesitant evaluations, which are defined as hesitant fuzzy linguistic term sets (HFLTS). In this study, AD is …used throughout a methodology in which hesitancy is taken into account in the assessments of the decision makers. System and design ranges are determined in light of the hesitant evaluations of the field experts, and alternatives are listed in the case of both the unweighted and weighted fuzzy environments. Show more
Keywords: Multi criteria decision making, Axiomatic design, Hesitant fuzzy linguistic term set, Medical imaging systems
DOI: 10.3233/JIFS-181128
Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3581-3591, 2018
Authors: Pająk, Michał
Article Type: Research Article
Abstract: In the case of crucial technical systems, the necessary condition for the proper management of the operation and maintenance is the minimisation of threat of the inability state occurrence. Expressing this objective in an analytical form is an essential element of the operation correctness assessment and optimal maintenance management. It involves modelling of the technical state and the operation and service activities in a coherent way. Unfortunately, in the case of huge and complex technical systems the analytical and stochastic models are inadequate. Therefore, it was decided to use a system approach to the issues under consideration. Firstly, as a …fundamental, the operational potential was introduced. Subsequently, the potential was described in the fuzzy technical state space. Thanks to it, the amount of the operational potential which can be transformed into the effects of the system operation and the degree of threat of the inability state occurrence were expressed in an analytical form. The proposed theory was applied to analyse the results of the operational tests accomplished by using an OP-650k-040 power boiler. As a result, the usefulness of the approach in the case of complex, crucial technical systems of strategic significance has been proven. Show more
Keywords: Maintenance management, operational potential, fuzzy technical states space, fuzzy model, complex technical systems
DOI: 10.3233/JIFS-18121
Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3593-3604, 2018
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