An easily implemented approach to fuzzy system identification is proposed. The proposed approach consists of two phases. The first phase involves a baseline design to effectively identify a prototype fuzzy system for ...
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An easily implemented approach to fuzzy system identification is proposed. The proposed approach consists of two phases. The first phase involves a baseline design to effectively identify a prototype fuzzy system for a target system from a collection of input-output data pairs. This is implemented by incorporating the subtractive clustering method to determine the number of clusters and the fuzzy c-means (FCM) clustering algorithm to build the actual clusters. If the resulting prototype fuzzy system cannot describe the target system appropriately with respect to the input-output data pairs, the second-phase fine-tuning process to adjust the parameters identified in the baseline design is necessary. This process can be realized by using the steepest descent and recursive least-squares estimation methods. The proposed approach is validated by applying it to a function approximation type of problem: the truck backer-upper problem with an obstacle in the center of the field. For further confirmation, the learning behaviour of the proposed approach for this problem is studied.
The damage resistance cyber-physical system (CPS) has gained growing attention in research communities. Recent studies typically describe a system's resistance to shock damage using a constant factor ranging from ...
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This paper explores two important themes in the implementation of RFID in supply chain management: (1) analyzing differences between actual (perceived) and potential (expected) key benefits to see if there are benefit...
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ISBN:
(纸本)9781424472956
This paper explores two important themes in the implementation of RFID in supply chain management: (1) analyzing differences between actual (perceived) and potential (expected) key benefits to see if there are benefit shortfalls for the key performances;and (2) performing a two-dimensional expectation- perception analysis (EPA) for the purpose of identifying competitive niche and strategically allocating and adjusting the company's resources. Empirical data were collected through surveys of executives of selected Taiwan based companies who had experienced RFID adoption in the supply chain practices. Finally, managerial implications and suggestions were provided for companies and industries that may be considering the adoption of RFID in SCM.
This paper presents an extension of Naor's analysis on the join-or-balk problem in observable M/M/1 queues. While all other Markovian assumptions still hold, we explore this problem assuming uncertain arrival rate...
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We study two-stage stochastic optimization problems with random recourse, where the adaptive decisions are multiplied with the uncertain parameters in both the objective function and the constraints. To mitigate the c...
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We study the problem of finding the Lowner-John ellipsoid, i.e., an ellipsoid with minimum volume that contains a given convex set. We reformulate the problem as a generalized copositive program, and use that reformul...
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In this paper, we show that the popular K-means clustering problem can equivalently be reformulated as a conic program of polynomial size. The arising convex optimization problem is NP-hard, but amenable to a tractabl...
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We study robust convex quadratic programs where the uncertain problem parameters can contain both continuous and integer components. Under the natural boundedness assumption on the uncertainty set, we show that the ge...
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