Journal of Intelligent & Fuzzy Systems - Volume 21, issue 6

Authors: Onut, Semih | Efendigil, Tugba

Article Type: Research Article

Abstract: Enterprise Resource Planning (ERP) software selection is one of the most important decision making issues covering both qualitative and quantitative factors for organizations. Multiple criteria decision making (MCDM) has been found to be a useful approach to analyze these conflicting factors. Qualitative criteria are often accompanied by ambiguities and vagueness. This makes fuzzy logic a more natural approach to this kind of problems. This study presents a beneficial structure to the managers for use in ERP software vendor selection process. In order to evaluate ERP vendors methodologically, a hierarchical framework is also proposed. As a MCDM tool, we used analytic …hierarchy process (AHP) and its fuzzy extension to obtain more decisive judgments by prioritizing criteria and assigning weights to the alternatives. The objective of this paper is to select the most appropriate alternative that meets the customer’s requirements with respect to cost and quality constraints. In the end of this study, a real-world case study from Turkey is also presented to illustrate efficiency of the methodology and its applicability inpractice. Show more

Keywords: AHP, fuzzy AHP, multiple criteria decision making, software selection

DOI: 10.3233/IFS-2010-0457

Citation: Journal of Intelligent & Fuzzy Systems, vol. 21, no. 6, pp. 365-378, 2010

Authors: Altin, Y. | Mursaleen, M. | Altinok, H.

Article Type: Research Article

Abstract: Statistical convergence for sequences of fuzzy real numbers has been studied by various authors. In this paper we study the concept of statistical summability (C, 1) for fuzzy real numbers which for real numbers was introduced by Moricz [18]. We also construct some interesting examples.

Keywords: Fuzzy numbers, statistical convergence, Tauberian theorem

DOI: 10.3233/IFS-2010-0458

Citation: Journal of Intelligent & Fuzzy Systems, vol. 21, no. 6, pp. 379-384, 2010

Authors: Kyriakoulis, Nikolaos | Gasteratos, Antonios | Mouroutsos, Spyridon G.

Article Type: Research Article

Abstract: An important issue in realizing robots with stereo vision is the efficient control of the vergence angle. In an active robotic vision system the vergence angle along with the pan and tilt ones determines uniquely the fixation point in the 3D space. The vergence control involves the adjustment of the angle between the two cameras’ axes towards the fixation point and, therefore, it enables the robot to perceive depth and to compute obstacle maps. Vergence movement is directly related to the binocular fusion. Additionally, the decision for convergence or divergence is extracted either by motion affine models or by mathematical …ones. In this paper, a new method for extracting the cameras’ movement direction is presented. The movement decision is performed by an adaptive fuzzy control system, the inputs of which are the zero-mean normalized cross correlation (ZNCC) and the depth estimations at each time step. The proposed system is assessed on a 4 d.o.f. robotic head, yet it can be utilized in any active binocular system, since it is computationally inexpensive and it is independent to a priori camera calibration. Show more

Keywords: Vergence angle, computer vision, mechatronics, fuzzy logic

DOI: 10.3233/IFS-2010-0459

Citation: Journal of Intelligent & Fuzzy Systems, vol. 21, no. 6, pp. 385-394, 2010

Authors: Khodabakhshi, M. | Hejrizadeh, Mona

Article Type: Research Article

Abstract: While data envelopment analysis (DEA) models are very sensitiveto possible data errors, in many real applications, the data of production processes cannot be precisely measured. Fuzzy DEA is asuccessful method that allows to deal with imprecise data in DEA. In this paper, we develop fuzzy version of the input relaxation model introduced in Jahahshahloo and Khodabakhshi [15] by using some ranking methods based on the comparison of α-cuts. The resulting auxiliary crisp problems can be solved by the usual DEA software. It is shown that, using a numerical example, how the proposed model become specially useful for detecting sensitive decision-making …units. Show more

Keywords: Data envelopment analysis, input relaxation, fuzzy mathematical programming, fuzzy intervals, possibilistic programming

DOI: 10.3233/IFS-2010-0468

Citation: Journal of Intelligent & Fuzzy Systems, vol. 21, no. 6, pp. 395-403, 2010