Journal of Intelligent & Fuzzy Systems - Volume 29, issue 4

Authors: Meng, Fanyong | Chen, Xiaohong | Zhang, Qiang

Article Type: Research Article

Abstract: This paper studies some uncertain generalized aggregation operators based on the Shapley function, two of which are named the uncertain induced generalized Shapley averaging (UIGSA) operator and the uncertain induced generalized hybrid Shapley averaging (UIGHSA) operator. These two operators consider the interactive characteristics between elements and that of their ordered positions. Meanwhile, some important cases and desirable properties are studied. To simplify the complexity of solving a fuzzy measure, the uncertain induced generalized λ -Shapley averaging (UIGλ SA) operator and the uncertain induced generalized hybrid λ -Shapley averaging (UIGHλ SA) operator based on λ -fuzzy measures are presented. Finally, two …new approaches to uncertain multi-attribute group decision making are developed, and a numerical example is provided to illustrate the proposed procedures. Show more

Keywords: Multi-attribute group decision making, uncertain aggregation operator, λ-fuzzy measure, Shapley function

DOI: 10.3233/IFS-131069

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 4, pp. 1251-1263, 2015

Authors: Zhu, Wei-Qun | Liang, Pan | Wang, Li-Jun | Hou, Yan-Ru

Article Type: Research Article

Abstract: In this paper, we investigate the multiple attribute decision making (MADM) problems with triangular fuzzy information. Motivated by the ideal of Bonferroni mean, we develop the aggregation techniques called the triangular fuzzy Bonferroni mean (TFBM) operator for aggregating the triangular fuzzy information. We study its properties and discuss its special cases. For the situations where the input arguments have different importance, we then define the triangular fuzzy weighted Bonferroni mean (TFWBM) operator, based on which we develop the procedure for multiple attribute decision making under the triangular fuzzy environments. Finally, a practical example for evaluating the modernization development of Chinese …traditional medicine industry is given to verify the developed approach and to demonstrate its practicality and effectiveness. Show more

Keywords: Multiple attribute decision making (MADM), triangular fuzzy numbers, Bonferroni mean, triangular fuzzy Bonferroni mean (TFBM) operator, triangular fuzzy weighted Bonferroni mean (TFWBM) operator, Chinese traditional medicine industry, modernization development

DOI: 10.3233/IFS-131092

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 4, pp. 1265-1272, 2015

Authors: Sultana, Ineen | Ahmed, Imtiaz | Azeem, Abdullahil

Article Type: Research Article

Abstract: In today’s competitive business, supplier selection problem plays a significant role as a strategic feature in company’s success. As variety of uncontrollable and unpredictable factors affect the evaluation and decision-making process at different levels, supplier selection problem is usually very complex and unstructured, Various decision making approaches have been proposed to tackle the problem as part of a general tendering process, particularly those of multi-criteria analysis which use both quantitative and qualitative data. The aim of this paper is to integrate Fuzzy Delphi method with fuzzy analytic hierarchy process (AHP) and Fuzzy TOPSIS based approach to select the best supplier …providing the highest satisfaction for the criteria determined. Fuzzy Delphi method is used to identify the most important and significant criteria then Fuzzy AHP is used to obtain the relative importance of the evaluation criteria and finally Fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is used to rank the suppliers with a view to select the best one from them. In order to demonstrate the applicability of proposed approach an illustrative example is presented and the result is analyzed at the end of this paper. Show more

Keywords: Fuzzy Delphi method, Fuzzy AHP, Fuzzy TOPSIS, multi criteria supplier selection

DOI: 10.3233/IFS-141216

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 4, pp. 1273-1287, 2015

Authors: Mesri, Alireza | Mahdipour, Mahmoud | Khoei, Abdollah | Hadidi, Khayrollah

Article Type: Research Article

Abstract: In this article, a new current-mode, accurate, and fully programmable Interval Type-2 (IT2) membership function generator (MFG) in 0.18μ m CMOS technology is presented. This IT2 fuzzifier is based on a Type-1(T1) fuzzifier that uses a new method for slope tuning. The proposed slope tuning method, leads to smaller active area and also significantly smaller total die area by reducing the number of required pins in comparison with previous methods. Small area, low power consumption, and especially suitable programming method, makes the proposed IT2 MFG suitable for fuzzifier block of general-purpose Fuzzy Logic Controllers (FLCs). The proposed IT2 MFG has …an average power consumption of 570μ W and has an area of 0.0183 mm2 . Simulation results using HSPICE in a typical 0.18μ m CMOS technology are presented to analyze the behavior of designed circuits. Show more

Keywords: IT2 MFG, T1 MFG, slope tuning, current mode, fully programmable

DOI: 10.3233/IFS-141339

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 4, pp. 1289-1299, 2015

Authors: Ran, Rong | Wang, Bang-Jun

Article Type: Research Article

Abstract: The aim of this paper is to extend the grey relational analysis (GRA) and Technique for order performance by similarity to ideal solution (TOPSIS) concepts to the fuzzy environment. Owing to vague concepts frequently represented in decision data, the crisp values are inadequate to model real-life situation. In this paper, the rating of each alternative and the weight of each criterion are described by linguistic terms which can be expressed in triangular fuzzy numbers. Then a vertex method is used to calculate the distance between two triangular fuzzy numbers. According to the concept of the GRA and TOPSIS, a fuzzy …relative relational degree is defined to determine the ranking order of all alternatives by calculating the degree of fuzzy grey relational coefficient to both the fuzzy positive-ideal solution (FPIS) and fuzzy negative-ideal solution (FNIS) simultaneously. Finally, an example for evaluating the technical innovation capability of high technology enterprises with fuzzy information is given to show the feasibility and effectiveness of the proposed method. Show more

Keywords: MCDM, GRA, Triangular fuzzy numbers, fuzzy positive-ideal solution, fuzzy negative-ideal solution, technical innovation capability

DOI: 10.3233/IFS-141380

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 4, pp. 1301-1309, 2015

Authors: Li, Junhong | Zeng, Wenyi

Article Type: Research Article

Abstract: In this paper, we propose a new dissimilarity measure between intuitionistic fuzzy sets (IFSs), which takes into account the membership degree, non-membership degree, degree difference between membership and non-membership functions of intuitionistic fuzzy sets, as well as the exponential dissimilarity measure to avoid information loss and prove that the proposed dissimilarity measure satisfies the properties of the axiomatic definition of dissimilarity measure. And we compare our proposed dissimilarity measure with some existing distances through some numerical examples which show that our proposed dissimilarity measure is more robust and efficient. Finally, we apply our proposed dissimilarity measure in multiple attribute decision …making(MADM) and the conclusion shows our proposed dissimilarity measure is available. Show more

DOI: 10.3233/IFS-141440

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 4, pp. 1311-1320, 2015

Authors: Qin, Yechen | Langari, Reza | Gu, Liang

Article Type: Research Article

Abstract: System modeling is one of the most important tasks of dynamic analysis and prediction systems, and imprecise model may lead to high bias. The presence of noise in sample data can make it more difficult to obtain precise system models. A new modeling algorithm called ANFIS-GMDH is presented in this paper, which builds upon the traditional ANFIS structure and utilizes the self-organizing mechanisms of GMDH. The aim of ANFIS-GMDH is to improve upon the traditional ANFIS method and prevent overfitting of noisy data. The well-studied Box-Jenkins gas furnace data is utilized to validate the algorithm, with results showing that the …proposed algorithm performs better than traditional ANFIS, GMDH and subtractive clustering for both noisy and noiseless data, without any significant increase in execution time. Show more

Keywords: ANFIS-GMDH, noisy data, system modeling, gas furnace data

DOI: 10.3233/IFS-141443

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 4, pp. 1321-1329, 2015

Authors: Hashem, Khaled A.

Article Type: Research Article

Abstract: This paper is devoted to study the initial and the final T -topogenous structures of the T -topogenous spaces, defined by the author in 2012. In this manuscript, we show that all initial (final) lifts in the category of T -topogenous spaces and the initial (final) T -topogenous structures exist. We introduce characterizations of the initial T -topogenous structures as special initial T -topogenous structures. The subspaces and product spaces of these T -topogenous spaces can be also characterized. Moreover, we show that the I -topology associated to the initial T -topogenous structure of a family of T -topogenous spaces …coincides with the initial I -topology of the family of I -topologies associated to these T -topogenous spaces. Show more

Keywords: I-topological spaces, T-topogenous spaces, initial and final T-topogenous structures

DOI: 10.3233/IFS-141452

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 4, pp. 1331-1342, 2015

Authors: Yao, Di | Wang, Jianwen | Liu, Yuan

Article Type: Research Article

Abstract: This paper develops a novel control approach to enhance working performance of eight-pole radial active magnetic bearings (AMB). In the proposed method, the improved fuzzy proportional-integral-derivative (PID) control based on variable universes of proportional scaling is designed firstly to obtain better identification performance and flexibility of AMB control. Then, a Kalman filter is implemented to estimate the rotor displacement to reduce the noise disturbance and undesirable parameter adjustments caused by fuzzy control scheme. Finally, the least mean square (LMS) filter is connected with fuzzy control to compensate the unknown mass unbalance which might induce serious vibrations of AMB facilities. The …simulation results show that the improved fuzzy PID control plays better performance than PID control in overshoot control, and the transient time of improved fuzzy PID is much shorter compared to conventional fuzzy PID. Meanwhile, the impacts of noise disturbance can be significantly limited by connecting with Kalman filter, and the maximum steady-state error can be decreased to about 85% . It is also shown that the LMS filter algorithm can effectively compensate the unknown mass unbalance in relatively short time without affecting the stability of AMB system. Show more

Keywords: AMB, nonlinear system, fuzzy control, Kalman filter, unbalance compensation

DOI: 10.3233/IFS-141485

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 4, pp. 1343-1353, 2015

Authors: Guodong, Yu | Yu, Yang | Xi, Zhao | Aijun, Liu

Article Type: Research Article

Abstract: Product collaborative design scheduling problem (PCDSP) has received increasing attention in the engineering field for its popularity in manufacturing and supply chain systems. Although many scholars have achieved many useful results in Job-shop scheduling problem (JSP), the research work of PCDSP is still lacking. Moreover, the fuzziness, dynamics and multi-objective of PCD pose a great challenge for enterprises making quick response to unplanned perturbations. Thus, in this paper, multi-objective dynamic fuzzy scheduling and its solution algorithm are presented. Emergencies cases are analyzed and dynamic scheduling procedure based on event-driven and lifecycle-driven is developed firstly. The fuzziness of PCD process is …studied meanwhile fuzzy triangular number and fuzzy trapezoid number are used to express the fuzziness. Based on this, a multi-objective dynamic fuzzy scheduling model aiming to minimum the makespan and tardiness penalty is constructed. As a solution, multi-objective dynamic adaptive scheduling algorithm, based on bi-layer coding strategy and self-adaptive double point crossover and self-adaptive mutation, is proposed following closely. Finally, analytic results from a case of a wind turbine are used to illustrate the model and method proposed in this paper. With the analysis, it can provide insight into ways of improving the strategic and operational decision making for enterprises. Show more

Keywords: Product collaborative design scheduling problem, fuzziness, dynamic scheduling, emergency, multi-objective optimization, algorithm

DOI: 10.3233/IFS-141491

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 4, pp. 1355-1365, 2015