Journal of Intelligent & Fuzzy Systems - Volume 36, issue 2

Authors: Dai, Jhen-Tang | Juang, Jih-Gau

Article Type: Research Article

Abstract: The purpose of this study is to integrate fuzzy sliding mode control (FSMC) into automatic landing system (ALS) to enhance aircraft safety during landing. FSMC can provide compensation signal to PID controller. The adaptive weight particle swarm optimization (AWPSO) and grey-based particle swarm optimization (GPSO) are applied to tune the matrix of controller parameters of the sliding surface. Fuzzy rules are applied to sliding mode controller to find the gain of the differential sliding function, sliding condition can be satisfied and stable control system can be achieved. PID controller is the main controller of the aircraft and it is also …used for the FSMC controller in learning process. In this study, the proposed intelligent system can improve the ALS to against the wind disturbance and control aircraft landing in severe condition. Stability analysis is provided in the controller design by the use of Lyapunov theory. Show more

Keywords: Fuzzy sliding mode control, particle swarm optimization, automatic landing, wind disturbance

DOI: 10.3233/JIFS-169900

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1287-1299, 2019

Authors: Chen, Ta-Cheng | Wang, Sheng-Chuan | Wu, Chun-Hui | Huang, Ke-Wei

Article Type: Research Article

Abstract: This study is to investigate the nonlinearly constrained various signal detector location allocation problems in which the types of detectors and the corresponding numbers and locations can be determined at the same time so as to minimize the maximum detecting failure rate in a specified area. In other words, the objective of the detector location allocation problem is to minimize the maximum failure rate by determining the best possible conjunction of three types of decision variables, i.e. , the type of detector, the numbers of each detector type and where to build up each of them with a limited …resources. So, the quality of reliability of event detecting can be assured and consistent. By the way, the signal intensity usually disintegrates proportionally to some power of the distance from the detector. That makes the longer distance far away the detector, the bigger failure rate in detection of the event. The signal detector allocation problem is described as a mixed-integer nonlinear programming model, usually using math programming or heuristic optimization methods for finding the optimal solution or near optimal solution. While using the both methods, the difficulties encountered are the amount of decision variables and the difficulty of not violating the constraints. In this study, a two-phase evolutionary computation approach based on the immune algorithm and particle swarm optimization has been developed for overcoming the difficulties and finding the optimal solutions for the detector allocation problems effectively. Finally, the performance of the proposed methodology has been evaluated with the commercial optimization software. Numerical results illustrate that our approach is with well performance for the constrained detector allocation problems considered in this paper. As reported, solutions acquired by using our approach are as well as or better than those found by using LINGO® . Show more

Keywords: Location allocation, mixed-integer nonlinear programming, evolutionary approach

DOI: 10.3233/JIFS-169901

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1301-1310, 2019

Authors: Kuo, Wen-Chung | Wang, Chun-Cheng | Kuo, Shao-Hung | Wuu, Lih-Chyau

Article Type: Research Article

Abstract: Traditional digital image authentication is usually based on signature or fragile watermarks. This performs authentication without any secret hidden data. Until now, many image authentication schemes with error detection based on watermarks or signatures have been proposed. Tampering attack can be detected but the areas tampered with cannot be determined for these schemes. In order to improve this shortcoming, a verifiable data hiding scheme is proposed for digital images in this paper. The main idea of the proposed scheme is combining multi-bit encoding function and multi-group data hiding scheme to increase embedding capacity and strengthen security with parity check to …verify the tampering of digital images having embedded secret messages. Therefore, there are three major contributions in our proposed scheme. First, it can achieve image tamper detection and find what has been modified. Second, it resists collage attack. Third, it can increase the embedding capacity. These contributions are discussed according to experimental results. The proposed scheme includes a high security to reduce detection of hidden data and the MSE analysis also proves this scheme has good image quality. Show more

Keywords: Multi-bit encoding function, parity check, watermark, tamper detection, MSE analysis

DOI: 10.3233/JIFS-169902

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1311-1321, 2019

Authors: Chou, Hsi-Chiang

Article Type: Research Article

Abstract: The rapid rates of industrialization and urbanization have induced considerable changes in family structures, increasing the number of older adults who voluntarily or involuntarily live alone. The rapid increase in the population of older adults living alone has raised many safety concerns, with fall-induced injuries and dementia presenting immediate dangers to older adults. Falls are prevalent in older adults, and not only cause injuries for the individuals, but also impose an extremely heavy burden on family members and caregivers. Furthermore, dementia is common among older adults in aging societies and is usually accompanied by dysfunctions in daily living activities, causing …considerable difficulties for family members. The objective of this study was to develop a remote monitoring and control (M&C) smart floor system for detecting falls and wandering patterns in older adults with dementia in order to provide comprehensive care assistance. The proposed system integrates a floor detection sensor and Wi-Fi technology to analyze and determine the occurrence of falls and wandering in older adults with dementia. Conventionally, detection processes for falls and wandering in older adults with dementia are conducted using visual monitoring or wearable detectors, which may reduce the privacy, comfort, and convenience of older adults. By contrast, the proposed system maintains users’ privacy and eliminates the inconvenience associated with wearing detectors. The system determines fall behaviors and wandering patterns in older adults with dementia; when an accident occurs, the system can issue a warning and notify medical care units or relatives for immediate attention, thus reducing the occurrence of further accidents. The remote M&C and warning functions of the proposed system were verified through experiments. Show more

Keywords: Fall detection, dementia, wandering patterns

DOI: 10.3233/JIFS-169903

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1323-1331, 2019

Article Type: Other

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1333-1333, 2019

Authors: Karaşan, Ali | Kahraman, Cengiz

Article Type: Research Article

Abstract: Location selection for a freight village is extremely important since it has strong impacts on quality of life such as reduction of traffic congestion, reduction of carbon emission, and effective use of lands. The inclusion of such criteria in a location selection requires the fuzzy sets to be used in the decision making methodology. In this paper, we propose a novel integrated fuzzy decision model for the location selection of freight villages. In this integrated methodology, we use DEMATEL for determining the most effective criteria and their inner and outer dependencies; ANP for weighting the determined criteria; and TOPSIS for …finding the best location alternative. The proposed model is applied to a case study for the city of Istanbul in Turkey. Show more

Keywords: Intuitionistic fuzzy sets, DEMATEL, ANP, TOPSIS, freight village

DOI: 10.3233/JIFS-17169

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1335-1352, 2019

Authors: Zadehparizi, Fatemeh | Jam, Shahrokh

Article Type: Research Article

Abstract: In this paper, a new chaotic teaching learning based optimization (CTLBO) is proposed. TLBO is a rather newly proposed population-based algorithm. This algorithm has no control parameters for the tuning and has a simple structure. We improve its performance by chaotic maps. First, the presented CTLBO is tested on nine unimodal/multimodal benchmark functions. Then, chaotic sequences are applied as vectors with different initial values for design of a frequency reconfigurable antenna (FRA) as a practical example. Comparisons of the performance of this algorithm with those of the basic TLBO, genetic algorithm and particle swarm optimization show the ability of this …algorithm in design of FRAs in terms of faster convergence and better performance. A prototype of the optimized antenna with CTLBO algorithm is fabricated and the simulation and measurement results agree suitably. Show more

Keywords: Teaching learning based optimization, Chaos theory, Frequency reconfigurable antenna.

DOI: 10.3233/JIFS-171420

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1353-1360, 2019

Authors: Gupta, S. K. | Dangar, D. | Ahmad, I. | Al-Homidan, S.

Article Type: Research Article

Abstract: In this study, we propose a formulation of a Mond-Weir type dual program for a multiobjective nonlinear optimization problem under fuzzy environment. To deal with the multiobjectivity in the formulation, we consider the concept of weak Pareto optimal solution in the fuzzy sense. We use the Hukuhara metric/ difference to define the distance/difference between two fuzzy numbers. Further, we establish weak and strong duality theorems under fuzzy pseudo/quasi-convexity assumptions. Moreover, we also validate these duality relations using various numerical illustrations.

Keywords: Multiple objective programming, Fuzzy valued function, Mond-Weir type duality, Partial ordering, Hukuhara difference

DOI: 10.3233/JIFS-171797

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1361-1373, 2019

Authors: Dorfeshan, Y. | Mousavi, S. Meysam

Article Type: Research Article

Abstract:  Uncertainty plays an important role in project decision-making problems that involve incomplete and imperfect information of real-world situations. To completely considering the uncertainty of decision-making methods, Pythagorean fuzzy sets (PFSs) are used. PFSs in comparisons with classic fuzzy sets provide degrees of membership, non-membership and hesitancy, and in comparisons with intuitionistic fuzzy sets (IFSs), they prepare the larger space to explain the agreement, disagreement and hesitancy grades. In this paper, to tackle the uncertainty of real-world projects and determine the critical path of projects by considering efficient criteria, such as time, cost, risk, quality and safety, a new group decision …methodology is extended based on concepts of technique for order of preference by similarity to ideal solution (TOPSIS) and complex proportional assessment (COPRAS) methods under PFSs. Furthermore, a new modified version of the proposed methodology is used to specify the weight of each expert. Finally, a case study from the literature, concerning workflow schema of marble processing plants project, is presented to better express the capability of the proposed methodology. Show more

Keywords: Project critical path, marble processing plant, Pythagorean fuzzy sets (PFSs), group decision-making methodology, decision makers’ weights, TOPSIS, COPRAS

DOI: 10.3233/JIFS-172252

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1375-1387, 2019

Authors: Ozkok, Beyza Ahlatcioglu

Article Type: Research Article

Abstract: Linear Programming (LP) is an optimization problem, which deals with finding optimal solutions under set of linear inequality or linear equality constraints. Fuzzy Linear Programming (FLP) and Fuzzy Linear Programming problems (FFLP) have gained great importance in recent years due to the uncertainties that may arise in the parameters and variables of the problems. In this paper we provided an extension to Ozkok et al. [Ozkok, B. A., Albayrak, I., Kocken, H. G., & Ahlatcioglu, M. (2016). An approach for finding fuzzy optimal and approximate fuzzy optimal solution of fully fuzzy linear programming problems with mixed constraints. Journal of Intelligent …& Fuzzy Systems, 31(1), 623-632.] to find fuzzy optimal and approximate fuzzy optimal solution of FFLP with trapezoidal fuzzy numbers. Show more

Keywords: Fully fuzzy linear programming problem (FFLP), trapezoidal fuzzy numbers, ranking function, infeasibility

DOI: 10.3233/JIFS-18016

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1389-1400, 2019