Journal of Intelligent & Fuzzy Systems - Volume 37, issue 6

Authors: Ning, Tao | Gou, Tao | Zhang, Peng

Article Type: Research Article

Abstract: Focus on the distribution vehicle scheduling problem under travel time delay, a series of rescue modes generalized from practical vehicle planner’ experiences were presented. The measurement method of value function based on prospect theory and the disruption management strategy of customer’s psychological perception are put forward in this paper. A multi-objective optimization model for disruption management of logistics distribution is established through multi-objective programming at first. Next, the idea of gradual optimization for the target to obtain the terminal logistics distribution adjustment scheme with minimum disturbance is introduced. Acting the customer’s psychological perception time as the reference point, the degree …of the customer’s psychological perception of the expected time of goods is measured with the prospect theory. In order to optimize the disruption management model and search the optimum solution of multi-objective optimization problem, an improved quantum bacterial foraging algorithm is proposed. The effectiveness and practicability of the proposed method is verified through the comparison and analysis with rescheduling method. Show more

Keywords: Travel time delay, terminal logistics, disruption management, psychological perception, prospect theory

DOI: 10.3233/JIFS-190916

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 8371-8379, 2019

Authors: Chen, Xiaoqing | Liu, Xinwang | Qin, Yong

Article Type: Research Article

Abstract:  The traditional Human Factor Analysis and Classification System (HFACS) model has been regarded as one of the most widely used and effective human error accident analysis approaches. However, current HFACS models are insufficient to address accident analysis problem with the high uncertain risk information and inconsistent behavioral preferences. The aim of this paper is to develop an extended HFACS based risk analysis method for human error accident based on interval type-2 fuzzy sets and prospect theory. Firstly, the interval type-2 fuzzy sets are used to express the uncertain evaluation information in the risk analysis process. Secondly, prospect theory is utilized …to depict the different risk preferences of experts under uncertain environment. Next, the ordered weighted averaging (OWA) operator for interval type-2 fuzzy number is combined with prospect theory to calculate risk priorities of risk factors. Specially, a ranking method based on possibility mean and variation coefficient is proposed to compare interval type-2 fuzzy numbers. Finally, an illustrative example in marine industry is selected to demonstrate the application of the extended HFACS based risk analysis method. The comparison analysis indicates that the proposed model can achieve relatively reasonable and objective risk evaluation results. Show more

Keywords: HFACS, interval type-2 fuzzy sets, prospect theory, human error accident

DOI: 10.3233/JIFS-190929

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 8381-8395, 2019

Authors: Rubio-Manzano, Clemente | Lermanda Senoceaín, Tomás | Martinez-Araneda, Claudia | Vidal-Castro, Christian | Segura-Navarrete, Alejandra

Article Type: Research Article

Abstract: Execution traces comprehension is an important topic in computer science since it allows software engineers to get a better understanding of the system behavior. However, traces are usually very large and hence they are difficult to interpret. Parallel, execution traces comprehension is a very important topic into the algorithms learning courses since it allows students to get a better understanding of the algorithm behavior. Therefore, there is a need to investigate ways to help students (and teachers) find and understand important information conveyed in a trace despite the trace being massive. In this paper, we propose a new approximation …for execution traces comprehension based on fuzzy linguistic descriptions. A new methodology and a data-driven architecture based on linguistic modelling of complex phenomenon are presented and explained. In particular, they are applied to automatically generate linguistic reports from execution traces generated during the execution of algorithm implemented by the students of an introductory course of artificial intelligence. To the best of our knowledge, it is the first time that linguistic modelling of complex phenomenon is applied to execution traces comprehension. Throughout the article, it is shown how this kind of technology can be employed as a useful computer-assisted assessment tool that provides students and teachers with technical, immediate and personalised feedback about the algorithms that are being studied and implemented. At the same time, they provide us with two useful applications: they are an indispensable pedagogical resource for improving comprehension of execution traces, and they play an important role in the process of measuring and evaluating the “believability” of the agents implemented. To show and explore the possibilities of this new technology, a web platform has been designed and implemented by one of the authors, and it has been incorporated into the process of assessment of an introductory artificial intelligence course. Finally, an empirical evaluation to confirm our hypothesis was performed and a survey directed to the students was carried out to measure the quality of the learning-teaching process by using this methodology enriched with fuzzy linguistic descriptions. Show more

Keywords: Computational intelligence, linguistic descriptions of data, linguistic modelling of complex phenomena, computer game bots, turing test, computer-assisted assessment

DOI: 10.3233/JIFS-190935

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 8397-8415, 2019

Authors: Lu, Shan | Zhang, Ning | Qiu, Yue | Gao, Ying

Article Type: Research Article

Abstract:  In the complex financial market, there are situations where the security returns have to be evaluated by experienced experts due to the lack of historical data. In this paper, within the framework of uncertainty theory, we propose a multi-period bi-objective regret minimization model for portfolio selection, in which bankruptcy risk and liquidity risk are both considered. Furthermore, in order to solve the proposed multi-objective optimization problem, a novel hybrid algorithm named MFA-SCA is proposed by combining the advantages of the firefly algorithm (FA) and sine cosine algorithm (SCA). Finally, a numerical example is given to illustrate the effectiveness of the …proposed approaches. Show more

Keywords: Uncertain portfolio selection, Regret factor, Multi-objective optimization, Bankruptcy risk, Firefly algorithm

DOI: 10.3233/JIFS-190936

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 8417-8439, 2019

Authors: Naeem, Khalid | Riaz, Muhammad | Afzal, Deeba

Article Type: Research Article

Abstract:  The prevailing structures like intuitionistic fuzzy sets, Pythagorean fuzzy sets and m -polar fuzzy sets etc. have their own deficiencies and limitations. There are many real life situations where multi-polar information is available and these structures fail to work due to their limitations e.g. in medical diagnosis sometimes some tests are repeated time and again to get multiple readings about symptoms to get a better diagnosis of a diseases. The motivation behind this article is to overcome these deficiencies by introducing a novel sort of set entitled Pythagorean m -polar fuzzy set (Pm FS) as hybrid structure of Pythagorean fuzzy …set and m -polar fuzzy set, m being some cardinal number. For m  = 1, this set dwindles to Pythagorean fuzzy set and becomes Pythagorean bipolar fuzzy set for m  = 2. We take the advantage to present a number of algebraic operations and some characteristics of Pm FSs. We define some linguistic terms using the notion of product of Pm FSs (⊗) by assigning different numeric values to the constant k  ∈ [0, ∞ [ and present an illustration to determine the values of membership and non-membership functions of Pm FSs for lower, middle and upper class regarding economic position. We render an application of Pm FSs in decision making problem (DMP) of selection of most appropriate mode of advertisement using the well-known tool TOPSIS. Show more

Keywords: Pythagorean m-polar fuzzy set, algebraic operations on PmFSs, α- & (α, β)-cut, decision making, TOPSIS

DOI: 10.3233/JIFS-191087

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 8441-8458, 2019

Authors: Dinçer, Hasan | Baykal, Elif | Yüksel, Serhat

Article Type: Research Article

Abstract: The study aims to measure the weights of innovative capacity and rank the blue ocean strategies for the family firms under the fuzzy environment. A hybrid decision making approach is proposed by considering IT2 (interval type 2) fuzzy DEMATEL (decision making trial and evaluation laboratory) for weighting the criteria and IT2 fuzzy VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje) to rank different alternatives. In this study, family firms, their innovative tendencies and one of the most challenging marketing strategies they can use in combatting with fierce competition, namely, blue ocean strategy have been discussed. Through blue ocean strategies family firms can …create undiscovered markets, creates their own demand and give an end to the value/cost trade-off. This strategy is envisaged to make the company attractive for potential investors after the point they start to grow and decide to expand their partnership structure to external players. Show more

Keywords: Interval type-2 fuzzy sets, innovation, blue ocean strategy, family firms, investment, decision making

DOI: 10.3233/JIFS-191091

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 8459-8470, 2019

Authors: Wang, Yadong | Shi, Quan | Hu, Qiwei

Article Type: Research Article

Abstract: In order to solve the problem of multi-period material supply in emergency logistics network, a dynamic multi-objective optimization mathematical model with constraints is constructed. The model takes the minimum cost and the maximum fill rate of demands as the objectives, and takes the location of distribution centers and the allocation of material as the decision variables. A dynamic self-adaptive multi-objective differential evolution algorithm is proposed to solve the mathematical model, and the feasible non-dominated solutions of the model are obtained. In the improved algorithm, on the one hand, a new environment change detect operator and a new environment change response …strategy are adopted so that the traditional static optimization algorithm can be used to solve the dynamic optimization problem. On the other hand, the improved algorithm adopts adaptive mutation strategy to improve the ability of global exploration and local exploitation. Case study shows that the improved strategy greatly improves the performance of the algorithm, and can solve the dynamic multi-objective optimization problem effectively. Show more

Keywords: Emergency logistics network, multi objective optimization, dynamic optimization, evolutionary algorithm, self-adaption

DOI: 10.3233/JIFS-191130

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 8471-8481, 2019

Authors: Başhan, Veysi | Ust, Yasin

Article Type: Research Article

Abstract: Supercritical carbon dioxide (s-CO2 ) Brayton power cycle has increasingly attracted attention due to having greater efficiency than conventional power cycles. Thus, s-CO2 systems have begun being tested all around the world, first at the laboratory scale, then as actual medium-capacity systems for ships’ main engines, and finally as large terrestrial power systems. In order to understand system performance during these tests, one must know the causes and effects of the operating regime of the system and its failures. In this context, the study analyzes 15 fundamental problems of power system-related components using the fuzzy Decision-Making Trial and Evaluation …Laboratory (DEMATEL) method. The DEMATEL method allows for identifying and analyzing important errors and/or problems in the s-CO2 Brayton cycle according to the cause-and-effect relationship scheme. Similarly, fuzzy sets are freed from uncertainty in decision-making and from the verbal comments of experts in DEMATEL. When examining the results, fire protection and/or firefighting problems, generator problems, gearbox problems, and radiator problems appear to have high importance in terms of causes. In addition, turbine problems, electrical problems, catalytic combustion-chamber problems, instrumentation, and control-system problems are also important in terms of effects. The study’s obtained results will strongly contribute to the operational safety and prevention of serious high-speed, high-temperature, and high-pressure machinery effects for laboratory-scale, medium-capacity, and actual-terrestrial s-CO2 power systems. Show more

Keywords: Super critic, carbon dioxide, Brayton, fuzzy DEMATEL, faults

DOI: 10.3233/JIFS-191133

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 8483-8498, 2019

Authors: Zhang, Pengyu | Huang, Junchu | Zhou, Zhiheng | Chen, Zengqun | Shang, Junyuan | Niu, Chang | Yang, Zhiwei

Article Type: Research Article

Abstract: Unsupervised domain adaptation (UDA) aims to build a classifier for the unlabeled target domain by transferring knowledge from a well-labeled source domain. Recently deep domain adaptation methods can not effectively integrate discriminability with transferability of features, and these methods can only reduce, but not remove, the cross-domain discrepancy. To this end, this paper proposes a new domain adaptation method called Joint Category-Level and Discriminative Feature Learning Network (CDN). CDN not only achieves domain adaptation by minimizing category-level distribution discrepancy between domains but also learns discriminative feature representations via maximizing inter-category distance and selecting transferability samples simultaneously. Moreover, we develop a …Transferability Weighting Module (TWM), which is based on a constructed classifier, to further strengthen the discriminability of sample’s features. The experimental results demonstrate that CDN can significantly decrease the cross-domain distribution inconsistency and further promote the classification performance. Show more

Keywords: Domain adaptation, deep learning, discriminative feature learning, transfer learning

DOI: 10.3233/JIFS-191136

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 8499-8510, 2019

Authors: Agrawal, Divya | Karar, Vinod

Article Type: Research Article

Abstract: Surveillance during low ambient lighting conditions is a challenging task due to hampered perception of the scene while using only visible range cameras. As a solution to this, surveillance using fusion of visible and infrared image has been proposed to provide comprehensive information of the scene instantaneously. Fusion of multispectral sensor information leads to enhancement of information for the operator. However, enhancement of information presented to user not always lead to enhancement of situation awareness (SA) level. This study focuses on SA estimation of operator during ground surveillance tasks while used visible-infrared fused imagery. The original reference image and fused …image outputs are compared statistically using different image quality parameters like target to background entropy, correlation and structural similarity index. A fuzzy based decision model is developed to give a quantitative and qualitative estimate of operator’s SA during surveillance carried out in low ambient lighting conditions. The fuzzy based decision model gives a qualitative estimate of SA as: poor, low, moderate & high, and, quantitative index in range of 1–10 indicating SA level and thus provides alert about the level of details perceivable from the fused image, thereby, helping operator to take decision based on SA index instantaneously. Show more

Keywords: Fuzzy decision system, situation awareness index, assistive technology, surveillance, image fusion

DOI: 10.3233/JIFS-172095

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 8511-8521, 2019