Journal of Intelligent & Fuzzy Systems - Volume 25, issue 1

Authors: Liang, Tien-Fu

Article Type: Research Article

Abstract: This work develops a possibilistic programming method to solve multi-product and multi-time period production/distribution planning decision (PDPD) problems involving imprecise goals, forecast demand and cost/time coefficients in uncertain environments. The proposed method attempts to simultaneously minimize total production and distribution costs and total delivery time in relation to inventory levels, available machine capacity and labor levels at each source, as well as forecast demand and available warehouse space at each destination, and considering the constraint of available budget. An industrial case is used to demonstrate the feasibility of applying the proposed method to real-world PDPD problems. Moreover, several significant management …implications regarding the practical application of the proposed method are presented. Show more

Keywords: Fuzzy sets, supply chains, production/distribution planning decisions, possibilistic programming

DOI: 10.3233/IFS-2012-0629

Citation: Journal of Intelligent & Fuzzy Systems, vol. 25, no. 1, pp. 219-230, 2013

Authors: Garg, Harish | Sharma, S.P.

Article Type: Research Article

Abstract: The purpose of this paper is to present a hybridized technique for analyzing the behavior of an industrial system stochastically by utilizing vague, imprecise, and uncertain data. In the present study two important tools namely Lambda-Tau methodology and particle swarm optimization are used to formulate the hybridized technique PSOBLT (Particle swarm optimization based Lambda-Tau) for analyzing the behavior of the complex industrial system stochastically up to a desired degree of accuracy. Expressions of reliability indices like failure rate, repair time, mean time between failures (MTBF), expected number of failures (ENOF), reliability and availability for the system are obtained by using …Lambda-Tau methodology and particle swarm optimization is used to construct the membership function. Fault tree is used to model the system. The press unit of a paper mill situated in a northern part of India, producing approximately 200 tons of paper per day, has been considered to demonstrate the proposed approach. Sensitivity analysis of a system's behavior has also been done. The behavior analysis results computed by PSOBLT technique have a reduced region of prediction in comparison of existing Lambda-Tau and GABLT (Genetic algorithm based Lambda-Tau) technique region, i.e. uncertainties involved in the analysis are reduced. Thus, it may be a more useful analysis tool to assess the current system conditions and involved uncertainties. Thus the paper suggests an approach to improve the systems' performance. Show more

Keywords: Paper mill, particle swarm optimization, Lambda-Tau methodology, uncertain data, PSOBLT

DOI: 10.3233/IFS-2012-0630

Citation: Journal of Intelligent & Fuzzy Systems, vol. 25, no. 1, pp. 231-242, 2013

Authors: Aygünoğlu, Abdülkadir | Çetkin, Vildan | Aygün, Halis

Article Type: Research Article

Abstract: In this paper, we show that the complete metric space C(K,$\mathbb{E}^{1}$) of fuzzy number valued continuous functions on a compact set K can be embedded into a Banach space C(K × [0,1]) × C(K × [0,1]) isometrically and isomorphically.

Keywords: Fuzzy number space, fuzzy number valued function, embedding, isometrical isomorphism

DOI: 10.3233/IFS-2012-0631

Citation: Journal of Intelligent & Fuzzy Systems, vol. 25, no. 1, pp. 243-246, 2013

Authors: Mughal, Asif Mahmood | Iqbal, Kamran

Article Type: Research Article

Abstract: The Physiological studies illustrate that human sit-to-stand (STS) movement consists of different phases that are distinguishable by their kinematics constraints and stability requirements. We propose to use a fuzzy TSK biomechanical model to analyze, integrate, and study biomechanical STS movement. The fuzzy model combines two local linear models defined at the initiation and termination points of STS using Gaussian membership functions that operate on measurement of knee flexion. Further, we develop TSK fuzzy controllers that employ H2 and H∞ optimal control techniques for effective regulation of biomechanical STS. The fuzzy controllers similarly combine knowledge from local linear optimal …controllers via membership functions. Our simulation results show that fuzzy TSK modeling is useful for the synthesis of STS movement because of its relevance with physiological principles and the use of localized control strategies for the joint torques. Show more

Keywords: Biomechanical model, TSK fuzzy model, optimal control, sit-to-stand movement

DOI: 10.3233/IFS-2012-0632

Citation: Journal of Intelligent & Fuzzy Systems, vol. 25, no. 1, pp. 247-258, 2013