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80 results for “ranking”
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Research ArticleOpen accessEvery word in the titleApplication of Preference Selection Index and TOPSIS in Product Aspect Extraction and RankingSaif Addeen Ahmad Alrababah, Nawaf Omara AlsrehinDecision-making methodologies can differentiate between several types of criterion weights. The subjective weights of decision-makers are prone to be influenced by various factors, including their level of knowledge, experience and competency. This may result in the wrong evaluation of the criteria due to the inherent ambiguity of human judgments, leading to unavoidable assessment errors. Beyond that, while assessing the decision … …Journal of Computer Science, Vol. 20, Issue 7 · 24 May 2024 · 4,838 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEstablishing an Evacuation Network: A Path Ranking ApproachHoussein Alaeddine, Kamal Serrhini, Mindjid Maizia, Emmanuel NéronThe evacuation of population exposed to flood hazard requires the establishment of a specific transportation network. This is to compute escape routes to be taken by affected population. At evacuation time, inhabitants of affected area must be evacuated through transportation network to safety area. The main objective of this work is to provide assistance to rescue forces in terms of … …Journal of Computer Science, Vol. 15, Issue 12 · 3 Dec 2019 · 7,899 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRHALSA: Ranking Hotels using Aspect Level Sentiment AnalysisNibedita Panigrahi, Asha TOpinion play a vital role which impacts the business in large extent. Users by-and-large depend on the reviews of others to avail the services. Online hotel bookings are becoming popular because of mobile applications being used on smart phones for placing the bookings from far away in advance along with the access to their reviews on different aspects. In this … …Journal of Computer Science, Vol. 14, Issue 11 · 15 Nov 2018 · 7,542 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA MULTI ATTRIBUTE RANKING MECHANISM FOR PEER-TO-PEER NETWORKSSheila Anand, B. SwaminathanP2P systems are envisioned to play a greater role in collaborative applications. P2P environments remove the challenging task of using servers for information sharing. Emerging collaborative P2P systems require discovery and utilization of multi-attribute, distributed and dynamic group of resources to achieve greater tasks beyond conventional file and processor cycle sharing. The process of selection of a peer for collaborative … …Journal of Computer Science, Vol. 10, Issue 8 · 24 Feb 2014 · 6,879 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHodsong: A Monastery Ritual for a Local Wisdom Ceremony for the Monk RankingTheerapong Meethaisong, Pisit Boonchai, Kosit PangsoiThe ranking order of monk in Isan, Thailand was influenced mostly from Buddhist believe and practices starting from Lanchang period and this religious believe become the common practices and the tool for local community in strengthening harmony and unity. One of the important religious ceremony calls Hodsong ceremony. The research area covered Maha Sarakham, Roi Et and Kalasin provinces which … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 2 Nov 2013 · 7,126 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRelevance Ranking for Services RetrievalHassania Ouchetto, Ouail Ouchetto, Ounsa RoudiesProblem statement: One of the challenges of e-gov systems is to provide, during a search process, relevant services that meet user expectations. Indeed, obtaining relevant information responding to user queries is a difficult process. It becomes even complex when the query terms have many meanings and do not fit with the vocabulary used by the services. Approach: We propose an … …Journal of Computer Science, Vol. 8, Issue 10 · 27 Aug 2012 · 6,699 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Novel Page Ranking Algorithm for a Personalized Web SearchJ. Jayanthi, K. S. JayakumarProblem statement: Information on the web is growing exponentially. Today, traditional search engines provide results mainly based on the user’s query. Though the context of the query varies, the returned result seems to be same for all users. Accordingly users are expected to search for the relevant results, which is an added overhead to the users. Approach: We propose a … …Journal of Computer Science, Vol. 8, Issue 7 · 12 May 2012 · 6,995 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCost Efficiencies and Rankings of Flagship UniversitiesG. Thomas SavProblem statement: Each state in the U.S. touts a premier university as the flagship of its publicly funded higher education system. With decreased government budgets and increased interest in public management reforms, these institutions are being pressured to provide evidence of and set examples for ever greater improvements in operating cost efficiencies. The problem, however, is that empirical measures of … …American Journal of Economics and Business Administration, Vol. 3, Issue 4 · 20 Jan 2012 · 7,502 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Enhanced Russell Measure of Super-Efficiency for Ranking Efficient Units in Data Envelopment AnalysisAli Ashrafi, Azmi Bin Jaafar, Lai Soon Lee, Mohd Rizam Abu BakarProblem statement: Conventional Data Envelopment Analysis (DEA) helps decision makers to discriminate between efficient and inefficient Decision Making Units (DMUs). However, DEA does not provide more information about the efficient DMUs. Super-efficiency DEA model can be used in ranking the performance of efficient DMUs. Because of the possible infeasibility of radial super-efficiency DEA model, the ranking has been limited to … …American Journal of Applied Sciences, Vol. 8, Issue 1 · 31 Jan 2011 · 8,798 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDynamic Bayesian Networks in Classification-and-Ranking Architecture of Response GenerationAida Mustapha, Md. Nasir Sulaiman, Ramlan Mahmod, Mohd. Hasan SelamatProblem statement: The first component in classification-and-ranking architecture is a Bayesian classifier that classifies user utterances into response classes based on their semantic and pragmatic interpretations. Bayesian networks are sufficient if data is limited to single user input utterance. However, if the classifier is able to collate features from a sequence of previous n-1 user utterances, the additional information may … …Journal of Computer Science, Vol. 7, Issue 1 · 27 Dec 2010 · 8,104 accessesView PDFCite