There is increasing interest in fully ranking the performance of organizational units with multiple inputs and outputs. We smooth the congenital differences of efficient and inefficient units. The concept of the secondary frontier is to eliminate the effects of super-efficiency and inefficiency. The pseudo secondary frontier is constructed to lie between the efficient and inefficient units. Lo...

The modeling and solving the optimization problem is one of the most important daily problem.By notation the nature of data in practice which are imprecise, fully fuzzy linear programming problem (FFLP) is a power full tool to modeling the practical optimization problem. In This paper after introducing FFLP, a new method to solve it is proposed. a linear ranking function for defuzzifying the FF...

The paper presents the application of a software tool to simulate system dynamic behavior together with the possibility to select critical contingencies of an electrical energy system. These cases are visualized and a ranking decision is introduced to support the operators to select critical system states. Insecure operating conditions can be monitored in the time domain using the full system r...

Biomedical information extraction is becoming an increasingly important application of Computational Linguistics research. We propose a method for analyzing full-text articles on protein interactions that takes a discourse-based approach to provide a means of ranking the biological validity of such interactions. Specifically, we use lexical chaining—strings of semantically related words—as an i...

Ri ed independence is a generalized notion of probabilistic independence that has been shown to be naturally applicable to ranked data. In the ri ed independence model, one assigns rankings to two disjoint sets of items independently, then in a second stage, interleaves (or ri es) the two rankings together to form a full ranking, as if by shu ing a deck of cards. Because of this interleaving st...

This paper processes a unification of Fuzzy TOPSIS and Data Envelopment Analysis DEA to select the units with most efficiency. This research is a two-stage model designed to fully rank the organizational alternatives, where each alternative has multiple inputs and outputs. First, the alternative evaluation problem is formulated byData Envelopment Analysis DEA and separately formulates each pair...

Proposed in this study is a hybrid model for supporting the performance of a department within Amir Kabir University in Iran. The proposal is a two-stage model designed to fully rank the organizational departments where each faculty has multiple inputs and outputs. First, the Data Envelopment Analysis (DEA) separately formulates each pair of units. In the second stage, the pair-wise evaluation ...

Passage retrieval and pseudo relevance feedback/query expansion have been reported as two effective means for improving document retrieval in literature. Relevance models, while improving retrieval in most cases, hurts performance on some heterogeneous collections. Previous research has shown that combining passage-level evidence with pseudo relevance feedback brings added benefits. In this pap...

In this paper, we document our efforts in participating to the TREC 2010 Entity Ranking and Web Tracks. We had multiple aims: For the Web Track we wanted to compare the effectiveness of anchor text of the category A and B collections and the impact of global document quality measures such as PageRank and spam scores. For the Entity Ranking Track, we use Wikipedia as a pivot to find relevant ent...

We present a log-linear ranking model for interpreting questions in a virtual patient dialogue system and demonstrate that it substantially outperforms a more typical multiclass classifier model using the same information. The full model makes use of weighted and concept-based matching features that together yield a 15% error reduction over a strong lexical overlap baseline. The accuracy of the...