Journal of Intelligent & Fuzzy Systems - Volume 27, issue 2

Authors: Germi, Masoud Bakhshi | Mirjavadi, Mohammad | Namin, Aghil Seyed Sadeghi | Baziar, Aliasghar

Article Type: Research Article

Abstract: According to the significance of power load demand forecasting, this paper suggests a new hybrid method to reach more accurate model with fast response. The proposed model consists of two algorithms: Self Adaptive Modified Bat Algorithm (SAMBA) and Artificial Neural Network (ANN). In recent years, SAMBA has been used as a powerful tool in the optimization problems. On the other hand among the most popular methods, ANN has shown powerful performance in load prediction as the result of its ability to detect nonlinear mappings among different variables. In addition, the special ability of SAMBA in fast convergence, its low dependency …to setting parameters and simple implementation make this algorithm more premiere than the other optimization algorithms. Therefore, in this paper for the first time we use SAMBA to regulate the weight matrix of ANN and optimize the degree of uncertainty which exist in load demand prediction. Show more

Keywords: Self adaptive modified bat algorithm, artificial neural network, forecasting

DOI: 10.3233/IFS-131049

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 913-920, 2014

Authors: Seyedtabaii, S. | Khalaji, A.

Article Type: Research Article

Abstract: In this paper, single chip CMOS design of a reconfigurable fuzzy traffic light controller is studied. The chip inputs are traffic data and parameters of fuzzy membership degrees (MD). MD's are allowed to have variable numbers of reconfigurable trapezoidal membership functions. Based on the traffic density, the fuzzy traffic controller decides either to terminate the current green phase or to prolong it for better intersection traffic handling. Import/export of data and working parameters are carried out through a serial link. The chip is designed using Very High Speed Integrated Circuit (VHSIC) Hardware Description Language (VHDL) and its layout is derived …using SOC Encounter. Parallel and sequential architectures for fuzzy processing which have diverse impacts on the chip area (cost) and fuzzy process delay (speed) are evaluated. The design of choice is a sequential architecture maintaining low power, low die area (cost) and adequately fast speed, to be capable of containing the entire fuzzy traffic control and data collection hardware. The simulated chip performance is tested versus full software implementation of the algorithm. Show more

Keywords: Fuzzy logic, traffic light control, CMOS design, VHDL

DOI: 10.3233/IFS-131051

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 921-928, 2014

Authors: Mirzamohammad, Mahsa | Ahmadi, Ali | Mirzarezaee, Mitra

Article Type: Research Article

Abstract: In this paper we use cellular learning automata integrated with a normalized gradient based motion detection algorithm in fuzzy domain to detect and track the moving objects in a video. A sequence of the video frames with a preset interval are first converted to gray scale images and then based on the first frame a first order gradient is calculated in fuzzy domain. Normalization process is then performed and the gray levels are ranged between 0 and 255 for each pixel. A sequence of primary motion detected images are calculated from the normalized first order gradient images subject to a …minimum threshold value for difference between every two sequent gradient images. If the condition of a minimum difference is met, each primary motion detected image is therefore computed as the products of the second order gradient of the image by the difference of the current frame with the average. Two terms of the products provide larger values for larger motions while vibrations and slight shakings are avoided. Resulting motion images are normalized to the gray scale range [0 : 255]. Then, cellular learning automata algorithm is used to reconstruct and form the object(s) of interest based on a set of rules. Objects are detected by a contour after the reconstruction. Detected objects in the sequential frames are used for the tracking purpose. This algorithm can be used for controlling and supervising a secured public place viewed by a fixed camera. The objects may be considered as the traversing people, animals, cars or any carrying baggage and the algorithm can be parameterized for the objects of interest. Finally, all parameters of the method as the threshold values, score, penalty and the number of evolution cycles are analyzed to find the optimum values for the dataset under analysis. Comprehensive experiments are performed to show the capability and efficiency of the proposed method while it is stated that developing this code in MATLAB constrains working in offline processing mode. Show more

Keywords: Moving object, detection and tracking, video, cellular learning automata, gradient method, fuzzy domain

DOI: 10.3233/IFS-131052

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 929-935, 2014

Authors: Çanak, İbrahim

Article Type: Research Article

Abstract: In this paper we use the concept of the Cesàro convergence of a sequence of fuzzy numbers defined by Subrahmanyam [Cesàro summability of fuzzy real numbers, Anal, 7 (1999), 159–168] to prove some Tauberian theorems for sequences of fuzzy numbers and obtain fuzzy analogues of some classical Tauberian theorems for Cesàro summability of sequences of fuzzy numbers as a corollary.

Keywords: Fuzzy numbers, sequences of fuzzy numbers, Cesàro summability

DOI: 10.3233/IFS-131053

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 937-942, 2014

Authors: Ibedou, Ismail

Article Type: Research Article

Abstract: In this paper, lattice-valued analogues of Ti separation axioms for fuzzy bitopological spaces where i ∈ {0, 1, 2, 3, 4} are introduced, employing the notion of neighborhood filter of W. Gähler. In the case of L = {0, 1}, the axioms in question reduce to the classical separation axioms of general topology. Additionally, these lattice-valued generalizations have many properties of their corresponding crisp analogues. Also, showing that these separation axioms are good extensions in the sense of R. Lowen.

Keywords: Fuzzy filter, fuzzy neighborhood filter, fuzzy topological space, fuzzy bitopological space, separation axiom

DOI: 10.3233/IFS-131054

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 943-951, 2014

Authors: Lin, Jian | Zhang, Qiang

Article Type: Research Article

Abstract: In this study, a new characteristic function with combined weighted form is developed to fuzzy cooperative games based on the BUM functions. By establishing efficiency, symmetry and additivity axioms, a Shapley function with combined weighted form is presented for fuzzy cooperative games. The proposed Shapley function considers not only the weighted average value of the marginal contribution, but also the collective cooperation tendency of players. Moreover, some desirable properties are introduced simultaneously. We show that the Shapley function with combined weighted form belong to fuzzy core when the fuzzy cooperative games is strong convex. Finally, a numerical example is provided …to illustrate the validity of the proposed Shapley function. Show more

Keywords: Cooperative games, Shapley function, cooperation tendency, fuzzy coalition

DOI: 10.3233/IFS-131055

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 953-964, 2014

Authors: Li, Xiao-li | Zhang, Xiao-fei | Jia, Chao | Liu, De-xin

Article Type: Research Article

Abstract: In practical applications, especially in the industrial field, some uncertain factors often lead abrupt changes of the system parameters. In this paper, multi-model adaptive control (MMAC) based on fuzzy neural networks (FNN) is suggested to identify and control discrete-time nonlinear systems in such environment. Stable learning algorithms for fuzzy neural networks which are robust to any bounded uncertainty are applied during the identification and adaptive control. The procedure of MMAC based on different model sets and index function is given, and the stability of MMAC is proved. This kind of MMAC based on FNN can improve the transient response greatly …in case of the stability of training process is guaranteed. The simulation results show that the control performance is better than traditional adaptive controllers when the system parameters have changed abruptly. Show more

Keywords: Fuzzy neural networks, multiple models, adaptive control, switching index, stability

DOI: 10.3233/IFS-131057

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 965-975, 2014

Authors: Sun, Hong-Xia

Article Type: Research Article

Abstract: In the framework of fuzzy games with coalitional structures, the fuzzy coalitional core is proposed, which can be regarded as the generalization of the crisp coalitional core. It proves that the fuzzy coalitional core has the same polyhedrical structure as the crisp coalitional core. To complement this approach an axiomatization of the fuzzy coalitional core is studied using individually rational, consistency, modularity and anti-monotonicity.

Keywords: Cooperative games, coalition structure, fuzzy coalition, core

DOI: 10.3233/IFS-131058

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 977-986, 2014

Authors: Ju, Yanbing | Yang, Shanghong

Article Type: Research Article

Abstract: We investigate the multi-attribute group decision making (MAGDM) problems in which the attribute values provided by the decision makers take the form of intuitionistic trapezoid fuzzy linguistic (ITrFL) information considering the uncertainty and inaccuracy of input arguments. Some new power aggregation operators called intuitionistic trapezoid fuzzy linguistic power average (ITrFLPA) operator, intuitionistic trapezoid fuzzy linguistic power weighted average (ITrFLPWA) operator, intuitionistic trapezoid fuzzy linguistic power ordered weighted average (ITrFLPOWA) operator, intuitionistic trapezoid fuzzy linguistic power hybrid weighted average (ITrFLPHWA) operator, intuitionistic trapezoid fuzzy linguistic power geometric (ITrFLPG) operator, intuitionistic trapezoid fuzzy linguistic power weighted geometric (ITrFLPWG) operator, intuitionistic trapezoid fuzzy …linguistic power ordered weighted geometric (ITrFLPOWG) operator and intuitionistic trapezoid fuzzy linguistic power hybrid weighted geometric (ITrFLPHWG) operator are proposed. Then, we study some desirable properties of the proposed operators, such as idempotency, commutativity and boundedness. In addition, two novel approaches based on the proposed operators are developed to solve MAGDM problems with intuitionistic trapezoid fuzzy linguistic information. Finally, a numerical example is provided to verify the feasibility of the proposed approaches. Show more

Keywords: Multi-attribute group decision making, intuitionistic trapezoid fuzzy linguistic variable, intuitionistic trapezoid fuzzy linguistic power average (ITrFLPA) operator, intuitionistic trapezoid fuzzy linguistic power geometric (ITrFLPG) operator

DOI: 10.3233/IFS-131060

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 987-1000, 2014

Authors: Song, Qingfeng | Shi, Kai

Article Type: Research Article

Abstract: This paper discusses on the problem of optimal decisions for waiting time contract in a fuzzy public health care market with two participants: the public health administration (PHA) and the patient. In order to maximize the expected utility of the PHA, a fuzzy waiting time model is established in the framework of principal-agent theory, where the PHA's assessment on the patient's health index is subjective, and should be described as a fuzzy variable. The equivalent model is then provided to get the optimal solution. The results illustrate that if the patient's health index is higher, he may spend more time …on waiting and less money on public treatment; the optimal contract depends only on utility function of PHA, so long as patient's utility rises in his wealth; treating patient with relatively lower or relatively higher health index make less utility for the PHA, and only treating patient with a special moderate health index can make the PHA's utility reach highest value. Finally, a numerical example is provided, which illustrates the effectiveness of the presented model. Show more

Keywords: Fuzzy variable, contract, waiting time, adverse selection, information asymmetry

DOI: 10.3233/IFS-131061

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 1001-1009, 2014

Authors: Zhang, Qinghua | Shen, Wen

Article Type: Research Article

Abstract: Rough set is a mathematical tool proposed by professor Pawlak to deal with uncertain knowledge. Attribute reduction is one of the core contents of rough set theory when people acquire knowledge from an information system. The existing reduction algorithms are often based on a kind of attribute importance, without considering the application information such as the costs, users' preferences, etc. Firstly, through the analysis of existing attribute reduction algorithms based on the attribute importance, the weighted attribute importance considering users' requirements is proposed. Secondly, based on the weighted attribute importance, a new attribute reduction algorithm is presented, and the algorithm's …completeness is proved in detail. Finally, experiments on the proposed algorithm have been completed, and the experiment results show that compared with the existing algorithms, the reduction results of the proposed algorithm are more coincident with the actual requirements of users. Show more

Keywords: Rough set, attribute importance, weighted attribute importance, attribute reduction

DOI: 10.3233/IFS-131062

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 1011-1019, 2014

Authors: Zhao, Hua | Xu, Zeshui

Article Type: Research Article

Abstract: Many operators have been developed for aggregating interval-valued intuitionistic fuzzy information. However, the existing interval-valued intuitionistic fuzzy aggregation operators can not reflect the concentration of the data in group decision making. In this paper, we present some new synthesized interval-valued intuitionistic fuzzy aggregation operators based on the existing interval-valued intuitionistic fuzzy aggregation operators and the clustering technique. The characteristic of these synthesized interval-valued intuitionistic fuzzy aggregation operators is that they can consider and reflect the density of the interval-valued intuitionistic fuzzy information distribution. Moreover, an approach to group decision making based on interval-valued intuitionistic preference relations by using these proposed …operators is developed. Finally a numerical example is given to illustrate the solution process of our method. Show more

Keywords: Group decision making, density-based interval-valued intuitionistic fuzzy operators, interval-valued intuitionistic preference relation, car selection

DOI: 10.3233/IFS-131063

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 1021-1033, 2014

Authors: Sezer, Aslıhan Sezgin

Article Type: Research Article

Abstract: In this paper, a new approach to LA-semigroup theory is proposed by obtaining significant characterizations of regular, intra-regular, completely regular, weakly regular and quasi-regular LA-semigroups via soft intersection left (right, two-sided) ideals, (generalized) bi-ideals, interior ideals, quasi-ideals of LA-semigroups.

Keywords: Soft set, soft intersection left (right, two-sided, interior, quasi) ideal, soft intersection (generalized)-bi ideal, regular LA-semigroup

DOI: 10.3233/IFS-131064

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 1035-1046, 2014

Authors: Yu, Shi-Jie

Article Type: Research Article

Abstract: We investigate the multiple attribute group decision making (MAGDM) problems in which the attribute values take the form of uncertain linguistic variables. Motivated by the idea of power geometric aggregation, in this paper, we develop some uncertain linguistic power geometric aggregation operators: the uncertain linguistic power weighted geometric (ULPWG) operator and the uncertain linguistic power ordered weighted geometric (ULPOWG) operator, and then apply them to multiple attribute group decision making problems with uncertain linguistic information. Finally, an illustrative example for evaluating the urban land intensive use in the Three Gorges reservoir area is given to verify the developed approaches and …to demonstrate its practicality and effectiveness. Show more

Keywords: Multiple attribute group decision making (MAGDM), uncertain linguistic variables, power average operator, power geometric operator, uncertain linguistic power geometric aggregation operator, urban land intensive use

DOI: 10.3233/IFS-131065

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 1047-1056, 2014

Authors: Zhu, Jian-Qi | Fu, Feng | Yin, Ke-Xin | Luo, Jia-Qian | Wei, Da

Article Type: Research Article

Abstract: In this paper, we investigate the multiple attribute decision making (MADM) problems with hesitant interval-valued fuzzy information. Then, we further develop some new Einstein aggregation operators with hesitant interval-valued fuzzy information, such as the induced hesitant interval-valued fuzzy Einstein correlated averaging (I-HIVFECA) operator and induced hesitant interval-valued fuzzy Einstein correlated geometric (I-HIVFECG) operator. Then, we apply the induced hesitant interval-valued fuzzy Einstein correlated averaging (I-HIVFECA) operator and induced hesitant interval-valued fuzzy Einstein correlated geometric (I-HIVFECG) operator to deal with multiple attribute decision making under the hesitant interval-valued fuzzy environments. Finally, an illustrative example for evaluating software quality is given to …verify the developed approach and to demonstrate its practicality and effectiveness. Show more

Keywords: Multiple attribute decision making (MADM), hesitant interval-valued fuzzy values, Einstein aggregation operators, induced hesitant interval-valued fuzzy Einstein correlated averaging (I-HIVFECA) operator, induced hesitant interval-valued fuzzy Einstein correlated geometric (I-HIVFECG) operator

DOI: 10.3233/IFS-131066

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 1057-1065, 2014

Authors: He, Lan | Teng, Hui

Article Type: Research Article

Abstract: The paper investigates the dynamic hybrid multiple attribute decision making problems, in which the decision information, provided by decision makers at different periods, is expressed in intuitionistic fuzzy numbers or interval-valued intuitionistic fuzzy numbers, respectively. We first develop two new aggregation operators called dynamic intuitionistic fuzzy Einstein weighted geometric (DIFEWG) operator and dynamic interval-valued intuitionistic fuzzy Einstein weighted geometric (DIVIFEWG) operator. Moreover, a procedure based on the DIFEWG and DIVIFEWG operators is developed to solve the dynamic hybrid multiple attribute decision making problems where all the decision information about attribute values takes the form of intuitionistic fuzzy numbers or interval-valued …intuitionistic fuzzy numbers collected at different periods. Then, we utilize two different grey relational analysis (intuitionistic fuzzy GRA and interval-valued intuitionistic fuzzy GRA) to calculate the overall grey relational degree of each alternative to the positive and negative ideal alternatives based on the decision information expressed in intuitionistic fuzzy numbers or interval-valued intuitionistic fuzzy numbers, respectively and then calculate the relative grey relational degree of each alternative to the positive to rank all the altenatives. Finally, an illustrative example for curative effect evaluation of psychotic disorders is given to verify the developed approach and to demonstrate its practicality and effectiveness. Show more

Keywords: Dynamic hybrid multiple attribute decision making, GRA (grey relational analysis), dynamic intuitionistic fuzzy Einstein weighted geometric (DIFEWG) operator, dynamic interval-valued intuitionistic fuzzy Einstein weighted geometric (DIVIFEWG) operator, curative effect evaluation

DOI: 10.3233/IFS-131067

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 1067-1075, 2014