Journal of Intelligent & Fuzzy Systems - Volume Pre-press, issue Pre-press

Authors: Feng, Yanpeng | Wu, Bo

Article Type: Research Article

Abstract: To address the problem that reactive navigation is prone to local optimality under uncertain and complex environments, a POMDP-based global path planning algorithm is proposed for mobile robots. A 6-tuple model is constructed for path planning under complex dynamic environments, and the global optimality is realizes by maximizing the accumulative reward function. State transition function and observation function are used to handle unknown obstacles and noisy perception by modeling the error probability. Belief state space is introduced, and a value iteration algorithm using point-based policy tree pruning is developed to solve for real time planning policy, which effectively reduces the …computational complexity. Simulation results show that using this algorithm the robot can automatically adapt to different probing granularities, avoid obstacles under complex uncertain environments, and achieve the optimal paths. Show more

Keywords: Mobile robot, path planning, grid method, POMDP, belief state, policy

DOI: 10.3233/JIFS-169337

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-6, 2017

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. Pre-press, no. Pre-press, pp. 1-18, 2017

Authors: Warrens, Matthijs J.

Article Type: Research Article

Abstract: 2 × 2 tables are encountered in various scientific disciplines, including biomedical, social and behavioral sciences, economics and ecology. In the literature many different similarity measures have been proposed that can be used to further summarize the information in a 2 × 2 table. Many of these measures are just functions of the four cells. In this paper the important ones are reviewed. Furthermore, it is shown how various similarity measures are related to one another by considering certain general similarity measures that have various important similarity measures as special cases. The presented overview may provide insights that may …be helpful to researchers from various scientific disciplines in deciding what similarity measure to use in applications or for studying theoretical properties. Show more

Keywords: Binary variables, presence/absence data, comparing partitions, agreement indices, association coefficients

DOI: 10.3233/JIFS-172291

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2018

Authors: Izhar, Muhammad | Khan, Asghar | Hila, Kostaq

Article Type: Research Article

Abstract: In this paper, we introduce double-framed soft bi-ideals (briefly DFS bi-ideals) and double-framed soft generalized bi-ideals (briefly DFS generalized bi-ideals) in AG-groupoids and some properties of them are investigated. Several characterizations of intra-regular AG-groupoids in terms of DFS left (resp. right) ideals, DFS bi-ideals, DFS generalized bi-ideals and semiprime class of them are provided.

Keywords: DFS-set, DFS AG-groupoid, DFS generalized bi-ideal, DFS bi-ideal, DFS int-uni product, DFS including set

DOI: 10.3233/JIFS-181188

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-15, 2018

Authors: Ortatepe, Zafer | Karaarslan, Ahmet

Article Type: Research Article

Abstract: In this study, the performance analysis of Fuzzy Self Tuning (FST) control method for Bridgeless Power Factor Correction (PFC) converter is proposed. The Bridgeless PFC converter based on FST method operates AC line rectification to result in DC output voltage without full-bridge rectifier. The proposed method generates the duty cycles to provide higher Unity Power Factor (UPF) and lower Total Harmonic Distortion (THD) of input current, even if AC line voltage consists of harmonics. Although Ziegler-Nichols method is very important to tune the coefficients of PI control method, it cannot guarantee to be always effective. For this reason, this study …investigates the design of FST control method that tunes the coefficients of Kp , and Ki gains that are used into inner and outer control loops. These parameters are self-tuned to make them more general, to achieve minimum steady-state error, and to improve the dynamic behavior such as overshoot. Performance of proposed system was implemented for 1 kW Bridgeless PFC converter board with a TMS320F2812 DSP. The simulation and experimental results are compatible with the limits for harmonic current emissions, IEC 61000-3-2 and show that the proposed method is better than traditional ones. Show more

Keywords: AC-DC power conversion, bridgeless PFC converter, fuzzy self-tuning control, power factor correction

DOI: 10.3233/JIFS-172134

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2018

Authors: Kamacı, Hüseyin

Article Type: Research Article

Abstract: In this paper, the symmetric difference operation for each of the soft sets and the soft matrices is defined and then their related properties are derived. Also, the concept of similarity measure for the soft matrices is introduced. Thus, we pioneer the budding phase of the use of soft matrices to find the similarity of soft sets. Through the soft matrices, we develop the Scilab code which facilitates the computation process of similarity measure among the soft sets composed of many parameters and alternatives. Moreover, it is shown with several examples that the similarity measure can be used for some …cases involving the uncertainties in various areas. To confirm the consistency of the emerging similarity measure, we make comparisons with the preexisting similarity measures for the soft sets. Show more

Keywords: Soft set, soft matrix, symmetric difference, similarity measure, significantly similar

DOI: 10.3233/JIFS-18339

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2018

Authors: Akram, Muhammad | Adeel, Arooj | Alcantud, José Carlos R.

Article Type: Research Article

Abstract: This article introduces a new hybrid model called fuzzy N -soft sets. It is a suitable combination of fuzzy set theory with N -soft sets, a model that in turn extends soft sets. Our novel concept is illustrated with real life examples, which have uncertainties in data that can be correctly captured by this structure. Moreover, we investigate some useful properties of fuzzy N -soft sets and construct fundamental operations on them. Furthermore, its relationships with existing models like N -soft sets, soft sets and fuzzy sets are studied too. Finally, potential applications of fuzzy N -soft sets in decision-making …are presented with algorithms. Show more

Keywords: Soft sets, N-soft sets, (F, N)-soft sets, ordered grades, decision-making

DOI: 10.3233/JIFS-18244

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-15, 2018

Authors: Zhang, Qibin | Wang, Peng | Chen, Zonghai

Article Type: Research Article

Abstract: This paper presents a novel qualitative scan matching approach based on the point cluster representation of laser scans for the coordination of mobile robots in indoor environments. According to the geometric characteristics of the scanned environment, a hierarchical clustering method is proposed to split the points in a laser scan into stable clusters, with which the point distribution in the scan can be approximated by a collection of probability distributions instead of the discrete data points. Based on the proposed compact and continuous description of captured sensor data, the pairwise constraints between clusters are exploited as heuristic information for efficient …data association between consecutive scans. In order to find the relative transformation between two frames, a qualitative estimate of the rotation with the maximum support and a closed-form solution for the translation are derived. Experiments in a variety of scenarios demonstrate the effectiveness of the proposed approach for robot pose estimation in indoor environments. Show more

Keywords: Mobile robots, pose estimation, laser scan matching, clustering, association

DOI: 10.3233/JIFS-18020

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2018

Authors: Liu, Jiubing | Zhou, Xianzhong | Huang, Bing | Li, Huaxiong | Ju, Hengrong

Article Type: Research Article

Abstract: In the study of intuitionistic fuzzy clustering, the construction of an intuitionistic fuzzy similarity matrix (IFSM) is a fundamental and important issue in the direct clustering analysis, since it determines clustering results and computational efforts. Many methods based on the axioms of intuitionistic fuzzy similarity relations are applicable to IFSM construction. However, most of existing methods may yield a “counterintuitive result” in some cases and consume much computational time. In this paper, we propose a novel intuitionistic fuzzy clustering method to deal with such problems. First, based on the normalized Hamming distance, we define a similarity measure between intuitionistic fuzzy …numbers (IFNs), by which a similarity measure between intuitionistic fuzzy sets (IFSs) is induced. Second, a divergence measure between IFSs is obtained by extending the dissimilarity of IFNs. Third, we construct an IFSM by using together the similarity and divergence measures so as to cluster the intuitionistic fuzzy information. Finally, two examples are presented to show the effectiveness and advantages of our method. Show more

Keywords: Intuitionistic fuzzy sets, similarity measure, divergence measure, intuitionistic fuzzy similarity matrix, clustering analysis

DOI: 10.3233/JIFS-18427

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-15, 2018

Authors: Azam, Akbar | Tabassum, Rehana

Article Type: Research Article

Abstract: The aim of this paper is mainly to find the existence of a common coincidence point for three intuitionistic fuzzy set-valued maps in the context of (α , β ) - level sets of an intuitionistic fuzzy set. The main result has been applied to derive the solution of a system of nonlinear integral equations. Moreover, an interesting example is put forth to demonstrate the applicability of the method.

Keywords: Common coincidence point, intuitionistic fuzzy mapping, fuzzy mapping, complete metric space

DOI: 10.3233/JIFS-18411

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2018