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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: Niu, Meixia | Hao, Xiaoying | Wang, Zhudeng
Article Type: Research Article
Abstract: In this paper, we further study implications, coimplications and left (right) semi-uninorms on a complete lattice. We firstly show that the N -dual operation of the right (left) residual implication, which is generated by a left (right)-conjunctive right (left) infinitely ∨-distributive left (right) semi-uninorm, is the right (left) residual coimplication generated by its N -dual operation. As a dual result, the N -dual operation of the right (left) residual coimplication, which is generated by a left (right)-disjunctive right (left) infinitely ∧-distributive left (right) semi-uninorm, is the right (left) residual implication generated by its N -dual operation. Then, we demonstrate that …the N -dual operations of the left (right) semi-uninorms induced by an implication and a coimplication, which satisfy the neutrality principle, are the left (right) semi-uninorms. Finally, we reveal the relationships between conjunctive right (left) infinitely ∨-distributive left (right) semi-uninorms induced by implications and disjunctive right (left) infinitely ∧-distributive left (right) semi-uninorms induced by coimplications, where both implications and coimplications satisfy the neutrality principle. Show more
Keywords: Fuzzy connective, implication, coimplication, left (right) semi-uninorm, neutrality principle
DOI: 10.3233/IFS-151622
Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 2, pp. 927-938, 2015
Authors: Long, Hoang Viet | Son, Nguyen Thi Kim | Tam, Ha Thi Thanh
Article Type: Research Article
Abstract: We combine two aspects, fuzzy mathematics and partial functional differential equations to get fuzzy partial hyperbolic functional differential equations in the sense of generalized Hukuhara-differentiability. In this setting, the global existence of four solutions, each one corresponding to a different type of differentiability, is investigated in the whole infinite domain [a , ∞) × [b , ∞).
Keywords: Partial hyperbolic functional differential equations, fuzzy solution, Banach fixed point theorem, contraction operator, the continuity of Zadeh’s extension, generalized Hukuhara derivatives
DOI: 10.3233/IFS-151623
Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 2, pp. 939-954, 2015
Authors: Jelusic, Primoz
Article Type: Research Article
Abstract: The primary benefit of fuzzy systems theory is to approximate system behavior where analytic functions or numerical relations do not exist. In soil mechanics relationship between the causes and effects can be observed with laboratory tests but is difficult to develop analytical functions or numerical relations between input and output. In geotechnical optimization the most usual constraints represent state variables of structural response for each loading case. The aim of this paper is to define the soft constrain with adaptive network-based fuzzy inference system (ANFIS) in the soil mechanics. The developed soft constrain is than applied in non-linear programming (NLP) …to obtain optimal solution. In the case of soil compaction the performance of the proposed optimization algorithm is evaluated. The main aim of soil compaction is to define optimal water content at which soil can be compacted to a densest state that improve their mechanical and physical properties. Show more
Keywords: Soil compaction, fuzzy relation equations, adaptive network-based fuzzy inference system, non-linear programming
DOI: 10.3233/IFS-151624
Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 2, pp. 955-962, 2015
Authors: Ebrahimnejad, Ali
Article Type: Research Article
Abstract: Transportation problems have wide applications in logistics and supply chain for reducing the cost. Effective algorithms have been proposed to solve the transportation problem in the case when all of the parameters, namely the supply, demand values and the unit transportation costs, are given in a precise way. However, in real applications, there are many diverse situations due to uncertainty. So, it is significant to investigate the transportation problem under uncertain environment. In this paper, a two-step method is proposed for solving fuzzy transportation problem (FTP) where all of the parameters are represented by non-negative triangular fuzzy numbers. The first …is to employ fuzzy arithmetic to convert FTP into a linear programming with fuzzy costs and crisp constraints. The second is to use a new decomposition technique to transform the resulting problem into three crisp bounded transportation problems. The advantages of the proposed method over the existing methods are discussed by an application example. The obtained results show that the method proposed in this study is simpler and computationally more efficient than some existing methods commonly used in the literature. Show more
Keywords: Fuzzy transportation problem, transportation simplex algorithm, triangular fuzzy numbers, computational complexity
DOI: 10.3233/IFS-151625
Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 2, pp. 963-974, 2015
Authors: Monfared, Hesamoddin | Salmanpour, Soheila
Article Type: Research Article
Abstract: In this paper, a generalized intelligent water drops algorithm (IWD) for solving robot path planning problem is proposed. The authors want to reduce the time of reaching the optimal solution as much as possible. To do this, some new heuristic operators and a multi section graph model of environment is introduced. The authors divide graph to equal sections and compare behaviour of the solutions (paths) in each section with behaviour of them in other sections. This comparison uses a fuzzy inference system. Base on this comparison, a fuzzy number is assigned to each part of solutions. This fuzzy number determines …the worth of a solution in a section. Less worth solutions need more improvement. New heuristic operators are used in the sections that need more improvement. The runtime of algorithms are increased by using a memory for keep proper solutions and a global smooth operator that smooth the solutions. The authors used proposed memory to apply heuristic operations on proper solutions more than other one. This method helps to obtain more improvement in lower runtime. The authors introduce two intersection operators for robot path planning problem that apply to solutions in memory. Experimental results show that the proposed algorithms find the optimal solutions in fewer runtime rather than other works. Show more
Keywords: Robot path planning, fuzzy logic, intelligent water drops algorithm, optimization
DOI: 10.3233/IFS-151661
Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 2, pp. 975-986, 2015
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