Proposing a hierarchical group compromise method can be regarded as a one of major multi-attributes decision-making tool that can be introduced to rank the possible alternatives among conflict criteria. Decision makers’ (DMs’) judgments are considered as imprecise or fuzzy in complex and hesitant situations. In the group decision making, an aggregation of DMs’ judgments and fuzzy group compromi...

Iran stands first both in production and export of Pistachio in the world and earns sizable income from its export. Despite such a position in global market, Farmers and traders in the country are suffering from a wide kind of bottlenecks. This study aimed to define the critical constraints and to suggest the best way to reduce them. Necessary data were collected through personal interview of r...

format The abstract should be 500 to 1000 words long, and contain Methods and Experiments sections. The Methods section should contain a short overview of the proposed method, in sufficient detail to understand how the method works. If a commercial system is used a method description is not necessary, but the exact name of the system and version number need to be provided. The Experiments secti...

This study proposes the Data Envelopment Analysis (DEA) ranking for resource allocation between Iran's Medical Universities based on a five years observation data (2004-2008). We compared the DEA ranking results with the traditional ranking approach applied by the Ministry of Health and Medical Education of Iran. Based on the DEA score the amount of budget is proposed for each university for th...

While a binary classifier aims to distinguish positives from negatives, a ranker orders instances from high to low expectation that the instance is positive. Most classification models in machine learning output some score of ‘positiveness’, and hence can be used as rankers. Conversely, any ranker can be turned into a classifier if we have some instance-independent means of splitting the rankin...

Various schemes have been proposed for generating a set of non-subjective weights when aggregating multiple criteria for the purposes of ranking or selecting alternatives. The maximin approach chooses the weights which maximise the lowest score (assuming there is an upper bound to scores). This is equivalent to finding the weights which minimize the maximum deviation, or range, between the wors...

We propose two complementary techniques to improve the performance of action recognition systems. The first technique addresses the temporal interval ambiguity of actions by learning a classifier score distribution over video subsequences. A classifier based on this score distribution is shown to be more effective than using the maximum or average scores. The second technique learns a classifie...

MOTIVATION When identifying differentially expressed (DE) genes from high-throughput gene expression measurements, we would like to take both statistical significance (such as P-value) and biological relevance (such as fold change) into consideration. In gene set enrichment analysis (GSEA), a score that can combine fold change and P-value together is needed for better gene ranking. RESULTS We...

Ranking thousands of web documents so that they are matched in response to a user query is really a challenging task. For this purpose, search engines use different ranking mechanisms on apparently related resultant web documents to decide the order in which documents should be displayed. Existing ranking mechanisms decide on the order of a web page based on the amount and popularity of the lin...

This paper presents a comparison report of two different processes of retrieving a keyword or data’s from a given database or from a multiple databases. The process1 known as Extended Boolean Retrieval (EBR) model, it gives us an output from the database. Since EBR model implementation aspects lead to a high cost, we consider an p-norm approach to the EBR implementation. P-norm approach plays a...