Conditional inference plays a central role in logical and Bayesian reasoning, and is used in a wide range of applications. It basically consists of expressing conditional relationship between parent and child propositions, and then to combine those conditionals with evidence about the parent propositions in order to infer conclusions about the child propositions. While conditional reasoning is ...

Background: We designed an algorithmic model based on the logistic regression analysis and a non-algorithmic model based on the Artificial Neural Network (ANN). Materials and methods: The ability of these models was compared together in clinical application to differentiate malignant from benign breast tumors in a study group of 161 patients' records. Each patient’s record consisted of 6 subjec...

this paper presents an optimal integrated instrumentation sensor network design methodology for complex nonlinear chemical process plants using a combinatorial particle swarm optimiazation (cpso) engine. no comprehensive sensor network design approach has been addressed yet in the literature to simultaneously incorporate cost, precision and reliability requirements for nonlinear plants. the pre...

In this study, we have concerned with a hierarchical logistic network design problem from two aspects that have been scarcely considered previously though they are very common in real-world. That is, to cope with a multi-commodity problem and a problem with stair-wised discount cost of transportation effectively as well as practically, we have developed the extended hybrid tabu search method fo...

Design of BOM configuration for reducing spare parts logistic costs Muh-Cherng Wu and Yang-Kang Hsu Department of Industrial Engineering and Management, National Chiao Tung University, Hsin-Chu, Taiwan, ROC Abstract This paper proposes an approach to reduce the total operational cost of a spare part logistic system by appropriately designing the BOM (bill of material) configuration. A spare par...