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This study aims to forecast asset restructuring performance for failing public firms and to test the effectiveness of different strategies of assets restructuring by using ten models, including: standalone models of multivariate discriminant analysis (MDA), logistic regression (Logit), probit, case‐based reasoning (CBR), support vector machine (SVM), and their bagged ensembles. Moreover, this study...
Semantic Web services is considered as the concept bringing the web to its full potential by combining the best features of web services, agent technology, grid and the Semantic web. In this paper we present a semantic Web Services platform based on software agent (JASW), which introduces Semantic web and software agent and takes the automated discovery, selection, orchestration and invocation of...
A queuing system with dual services, i.e., the primary service and the auxiliary service, is considered in the present article. The server has to allocate part of its capacity to process the additional service when the auxiliary service is requested. We show that the possible optimal auxiliary capacity is actually on the convex envelope of the auxiliary cost function. Also, the optimal control policy...
The target assignment for multi-UCAV is an important part of UCAV mission planning. In this paper, an analytic method of dynamic target assignment for multi-UCAV based on ordinal interval ranking information is proposed to solve the dynamic targets assignment problem in the process of UCAV task implementation. First, some concepts and characteristics of interval order number are introduced. Then,...
This paper presents a reasoning algorithm based on interaction with fuzzy rule matrix transformation, and applies it to completing the patterns. Then the new full patterns will be used in training and synthetic judgment. The investigation shows that the method is effective and may be widely used in reasoning with incomplete knowledge.
Fuzzy measure and integral are widely used in multiple classifier system (MCS). But the number of coefficients involved in the fuzzy integral model grows exponentially with the number of classifiers to be aggregated. The main difficulty is to identify all these coefficients. This paper does an attempt Using 2-additive fuzzy measure in multiple classifier system. Our conclusion is that when different...
With regard to group decision making (GDM) problems based on multigranularity interval linguistic, we propose a new consensus method for GDM. Firstly, we transform information of multigranularity interval linguistic into information of fuzzy set in basic linguistic term set, and aggregating these values we obtain group assessment value. Secondly, a consensus mechanism guide experts to adjust their...
This paper intend to present a approach for multi-regional logistics planning, the presented approach is a combination algorithm, which is combinated by two traditional methodology-principle component analysis (PCA) and cluster analysis. Basing on the relevant data of logistics development, the evaluation and classification about comprehensive level of logistics development in different regions can...
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