Journal of Intelligent & Fuzzy Systems - Volume 28, issue 2

Authors: Haobin, Shi | Lin, Zhang | Wei, Pan | Shichao, Wang

Article Type: Research Article

Abstract: Research on robot soccer confrontation decision-making technology (CDMT) has become a hot spot of the current artificial intelligence and robotics. But the current robot soccer CDMT has the defects of relying on static competition information and lacking the global consciousness. In this paper we propose a novel CDMT based on multi-objective game model (MOGM). MOGM is very suitable to multiple-robot competition. This technology establishes corresponding local information action-based game for every involved soccer robot. Then a global information strategy-based game by the linear weighted sum of the individual robots' local information games is evaluated. Thereby, the proposed method generates the …global optimal strategy that meets the requirement of competition situation. The simulation results in Federation International Robot Soccer Association (FIRA) Standard Platform League show that this approach is efficient and reliable. Show more

Keywords: Robot soccer, multi-objective decision-making, game theory, confrontation decision-making

DOI: 10.3233/IFS-141352

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 2, pp. 713-724, 2015

Authors: Li, Hui | Peng, Jin | Li, Shengguo

Article Type: Research Article

Abstract: This paper discusses capital budgeting problem in uncertain environment, in which investment outlays and annual net cash flows of available projects are given subject to experts' estimations. Net present value (NPV) is extended to uncertain environment. As a result, three mathematical models are constructed for the problem, i.e., expected value model, chance-constrained programming model and chance-measure programming model. After that, some crisp equivalences are also discussed for different models. In addition, a hybrid intelligent algorithm for solving the proposed models in general cases is presented. To illustrate the modeling idea and the effectiveness of the proposed algorithm, some numerical examples …are provided. Show more

Keywords: Capital budgeting, investment, project selection, uncertainty theory, uncertain programming

DOI: 10.3233/IFS-141353

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 2, pp. 725-736, 2015

Authors: Xu, Yitian | Zhang, Yuqun | Yang, Zhiji | Pan, Xianli | Li, Guohui

Article Type: Research Article

Abstract: Acute-on-chronic liver failure (ACLF) is characterized by jaundice, coagulopathy, hepatic encephalopathy, and associated with high mortality. According to the progress of patients, we partition 81 ACLF patients into three groups. Group I includes 40 improved patients, group II contains 18 death patients, and group III is composed of 23 unlabeled patients. For the imbalanced characteristic of groups I and II, we construct an imbalanced prediction model based on small sphere and large margin approach (SSLM). SSLM classifies two classes of samples by maximizing their margin and then is an effective classification method for imbalanced data. For groups I, II and …III, we present a prediction model based on semi-supervised twin support vector machine (TSVM), which integrates 23 unlabeled samples into the training process and improves testing accuracy. Compared with other three algorithms, our two proposed prediction models produce better testing accuracy. Finally we apply them to predict 23 not confirmed patients, and integrate them with the MELD method to obtain their prediction labels. Show more

Keywords: Imbalanced data classification, semi-supervised TSVM, SSLM, ACLF

DOI: 10.3233/IFS-141354

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 2, pp. 737-745, 2015

Authors: Zhou, Min | Li, Shenggang

Article Type: Research Article

Abstract: The algebraic and topological structures based on a new kind of soft set relations, Z-soft set relations, are characterized. Here we introduce the Z-soft set relations and provide further investigations to them. Several new operations of Z-soft set relations are employed to investigate the fundamental properties of Z-soft set relations. In particular, it is shown that the collection of all Z-soft set relations over a soft set gives rise to commutative idempotent hemirings, MV-algebras, Boolean algebras, De Morgan algebras, Kleene algebras and Stone algebras with respect to the new operations defined in this paper. Further, Z-soft set relation topologies are …studied by employing Z-anti-reflexive interior operators and Z-reflexive closure operators of Z-soft set relations. It is noteworthy that intrinsic connections between Z-anti-reflexive interior operators and Z-reflexive closure operators have been established. Show more

Keywords: Z-soft set relation, algebraic structure, Z-anti-reflexive interior operator, Z-reflexive closure operator

DOI: 10.3233/IFS-141356

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 2, pp. 747-756, 2015

Authors: Kalanat, Nasrin | Shamsinejadbabaki, Pirooz | Saraee, Mohamad

Article Type: Research Article

Abstract: Data mining techniques are often confined to the delivery of frequent patterns and stop short of suggesting how to act on these patterns for business decision-making. They require human experts to post-process the discovered patterns manually. Therefore a significant need exists for techniques and tools with the ability to assist users in analyzing a large number of patterns to find usable knowledge. Action mining is one of these techniques which intelligently and automatically suggests some changes in the state of an object with the aim of gaining some profit in the corresponding domain. Up to now little research has been …done in this field; in all cases continuous-valued data is handled by discretizing the associated attributes in advance or during the learning process. One inherent disadvantage in these methods is that using this sharp behavior can result in missing the optimal action. To overcome this problem this paper presents a method based on fuzzy set theory. In this paper, we concentrate on the fuzzy set based approach for the enhancement of Yang's method and present an algorithm that suggests actions which will decrease the degree to which a certain object belongs to an undesired status and increase the degree to which it belongs to a desired one. Our algorithm takes into account the fuzzy cost of actions, and further, it attempts to maximize the fuzzy net profit. The contribution of the work is in taking the output from fuzzy decision trees, and producing novel, actionable knowledge through automatic fuzzy post-processing. The performance of the proposed algorithm is compared with Yang's method using several real-life datasets taken from the UCI Machine Learning Repository. Experimental results show that the proposed algorithm outperforms Yang's method not only in finding more actions but also in finding actions with more fuzzy net profit. Show more

Keywords: Actionable knowledge discovery, fuzzy action mining, fuzzy decision tree, cost-effective action

DOI: 10.3233/IFS-141357

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 2, pp. 757-765, 2015

Authors: Xu, Sheng

Article Type: Research Article

Abstract: The New Basel Capital Accord takes the lead in bringing operational risks into the commercial banks' risk management framework, and also confirms the risk mitigating effects of operational risk insurance, thus insurance, as an important tool of operational risk management, came into the focus of international banks. During the past couple years the loss events of operational risks in China's commercial banks happened frequently, but the application of insurance for banks covering operational risks still drops behind. And the academic circles in China paid insufficient attention to operational risks and their insurance. In this paper, we investigate the multiple attribute …decision making problems with interval grey uncertain linguistic variables. Then, we develop the induced interval grey uncertain linguistic ordered weighted geometric (I-IGULOWG) operator. Then, we apply the induced interval grey uncertain linguistic ordered weighted geometric (I-IGULOWG) operator to deal with multiple attribute decision making with the interval grey uncertain linguistic variables. Finally, an illustrative example for evaluating the commercial banks financial risk with the interval grey linguistic variables is given to verify the developed approach. Show more

Keywords: Multiple attribute decision making, interval grey uncertain linguistic variables, induced interval grey uncertain linguistic ordered weighted geometric (I-IGULOWG) operator, commercial banks, financial risk

DOI: 10.3233/IFS-141358

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 2, pp. 767-773, 2015

Authors: Yang, Chi-Lu | Huang, Yen-Chieh | Chang, Yeim-Kuan | Chu, Chih-Ping

Article Type: Research Article

Abstract: E-health for both chronic patients and wellness persons has recently attracted the interest of researchers and practitioners. The physical vital signs are one of the most important factors used to evaluate individual wellness. The variations of daily vital signs are even significant in analyzing physical health trends that can be applied in self-caring for individuals at home. In this paper, an Intelligent-Mamdani Inference Scheme (IMIS) based on fuzzy markup language (FML) is proposed to define approximate health conditions of the individuals via the blood pressure and the body mass index in out-of-hospital. The IMIS can fuse these vital signs and …infer semantic health summary using the constructed fuzzy rules and the knowledge base. The main contributions of the this paper are: (1) to leverage personal vital signs by fuzzy logic technology for self-health management at home; (2) to design the novel scheme in detail for practicability and reproduction. The experimental results show that the scheme is feasible to infer personal health status. An individual can easily recognize self-health trend through semantic sentence generation, which further advances self-health management in out-of-hospital. Show more

Keywords: Self-health management, e-health care, vital sign fusion, fuzzy inference, fuzzy markup language, neuro-fuzzy

DOI: 10.3233/IFS-141359

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 2, pp. 775-786, 2015

Authors: Liu, Yanqin

Article Type: Research Article

Abstract: Colleges and universities in our country keep on enlarging the number of new students. As a result, a serious of problems appears. Under such circumstances, the topic of education effectiveness becomes a very hot issue. In colleges and universities, classroom instruction still is the main teaching method. Its effectiveness, to a large extent, reflects and determines the education quality of colleges and universities. And, teacher's classroom instruction is the most important part, which determines the fostering level of talents, affects teachers and students' life quality. Hence, evaluation of teacher's classroom instruction effectiveness of colleges and university has a very important …influence on propelling teacher's teaching reform and improving the education quality. In this paper, we investigate the multiple attribute decision making with intuitionistic fuzzy information. Motivated by the ideal of dependent aggregation, we develop the dependent intuitionistic fuzzy Einstein weighted average(DIFEWA) operator, in which the associated weights only depend on the aggregated intuitionistic fuzzy arguments and can relieve the influence of unfair intuitionistic fuzzy arguments on the aggregated results by assigning low weights to those “false” and “biased” ones and then apply them to develop some approaches for multiple attribute decision making with intuitionistic fuzzy numbers. Finally, an illustrative example for evaluating the foreign language teaching effectiveness is given to verify the developed approach and to demonstrate its practicality and effectiveness. Show more

Keywords: Intuitionistic fuzzy information, operational laws, dependent intuitionistic fuzzy Einstein weighted average(DIFEWA) operator, foreign language teaching effectiveness

DOI: 10.3233/IFS-141360

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 2, pp. 787-793, 2015

Authors: S-Le, Dong | Vu-H, | D-Nguyen, Phu

Article Type: Research Article

Abstract: In this paper, we will show the solution of the linear-order random fuzzy differential equations to some particular initial value problems.

Keywords: Random fuzzy differential equations, Linear-order random fuzzy differential equations, Fuzzy stochastic process, Fuzzy random variables, Randomness and fuzziness

DOI: 10.3233/IFS-141362

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 2, pp. 795-807, 2015

Authors: Ratna, S. Raja | Ravi, R. | Shekhar, Beulah

Article Type: Research Article

Abstract: Securing information systems and the networks that connect them is paramount in the age of growing incidents of cyber attacks. Invasive and continuous cyber attacks on information systems continue to create a potentially shocking blow to the transmission of information from one end to the other. Wireless networks are often vulnerable to intentional interference physical layer reactive jamming attacks, in which the adversaries effectively and stealthily corrupt the packet by injecting high level of noise thereby keeping the channel busy. Consequently, legitimate traffic gets completely blocked; resulting in packet loss at the receiver side. These jammers cause serious threat to …wireless communication and they are difficult to identify. A novel method known as ‘Neuro Fuzzy Detachment Scheme’ has been proposed to prevent such sophisticated and powerful jamming attack. The key idea is to identify and detach jammers from the network to ensure perspicuous transmission. The proposed detachment scheme operates in three modules. In module one, the past record log files are analyzed to extract the trust values for different traces. Using the extracted trust values, the decision factors are monitored for different runs with the attacker in between the communication range of source and the sink and then the suspicious traces are identified and classified using ANFIS classifier. In module two, to trace abnormality, three reorganizing algorithms have been developed to reorganize the categorized traces. In module three, misbehaving nodes are identified and detached from the network. It is observed through simulation studies that the proposed scheme attains higher throughput and packet delivery ratio while attaining lower delay. Show more

Keywords: Attacker, cyber attack, malicious, trust, vulnerable

DOI: 10.3233/IFS-141363

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 2, pp. 809-820, 2015