9,911 research outputs found

    Literature Review on Vague Set Theory in Different Domains

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    Problem of decision making is a crucial task in every business. This decision making job is found very difficult when it is depends on the imprecise and vague environment, which is frequent in recent years. Vague sets are an extension of Fuzzy sets. In the fuzzy sets, each object is assigned a single value in the interval [0,1] reflecting its grade of membership. This single value does not allow a separation of evidence for membership and evidence against membership. Gau et al. proposed the notion of vague sets, where each object is characterized by two different membership functions: a true membership function and a false membership function. This kind of reasoning is also called interval membership, as opposed to point membership in the context of fuzzy sets. In this paper, reviews the related works on the decision making by using vague sets in different fields

    Neutrosophic association rule mining algorithm for big data analysis

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    Big Data is a large-sized and complex dataset, which cannot be managed using traditional data processing tools. Mining process of big data is the ability to extract valuable information from these large datasets. Association rule mining is a type of data mining process, which is indented to determine interesting associations between items and to establish a set of association rules whose support is greater than a specific threshold

    The Calm Before the Storm? Selected Criminal-Law Cases in the Supreme Court’s 2016-2017 Term

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    Last year’s review was titled One Term, Two Courts, and it noted some of the differences in the Court’s decision making before and after Justice Antonin Scalia’s passing.1 Justice Scalia’s replacement, Justice Neil Gorsuch, was sworn in on April 10, 2017, too late to have an impact on the criminal side of the 2016-2017 Term’s ledger. He participated in only three of the twenty-two cases we discuss here,2 and none of his votes was decisive. This was one Term, one Court. Two characteristics mark the Term. One is a light criminal law docket (with some significant rulings, but no blockbusters). The other is a relatively high degree of consensus— a high percentage of unanimous opinions—as well as fewer merits cases determined by a single vote than in the five previous Terms with a full Court.3 The October 2017 term may well be different

    The Anti-Deference Pro-Preemption Paradox at the U.S. Supreme Court: The Business Community Weighs In

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    Disponible en ligne sur le site de la Centrale de Cas et de Médias Pédagogiques : https://www.ccmp.fr/collection-ccmp/cas-ibm-innov8-le-serious-game-conduire-une-mission-de-conseil-pour-modeliser-un-processus-siCas pédagogique CCMP N° I012

    Plateau Mining Company, a Delaware Corporation, and Cyprus Western Coal Equipment Company, a Delaware Corp. v. The Utah Division of State Lands and Forestry, et al. : Brief of Appellee

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    CONSOLIDATED BRIEF OF PLAINTIFF/RESPONDENT TRAIL MOUNTAIN COAL COMPANY APPEAL FROM THE SEVENTH JUDICIAL DISTRICT COURT OF EMERY COUNTY, STATE OF UTAH THE HONORABLE BOYD BUNNELL, JUDGE

    Tension Analysis in Survivor Interviews: A Computational Approach

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    Tension is an emotional experience that can occur in different contexts. This phenomenon can originate from a conflict of interest or uneasiness during an interview. In some contexts, such experiences are associated with negative emotions such as fear or distress. People tend to adopt different hedging strategies in such situations to avoid criticism or evade questions. In this thesis, we analyze several survivor interview transcripts to determine different characteristics that play crucial roles during tension situation. We discuss key components of tension experiences and propose a natural language processing model which can effectively combine these components to identify tension points in text-based oral history interviews. We validate the efficacy of our model and its components with experimentation on some standard datasets. The model provides a framework that can be used in future research on tension phenomena in oral history interviews

    The Calm Before the Storm? Selected Criminal-Law Cases in the Supreme Court’s 2016-2017 Term

    Get PDF
    Last year’s review was titled One Term, Two Courts, and it noted some of the differences in the Court’s decision making before and after Justice Antonin Scalia’s passing.1 Justice Scalia’s replacement, Justice Neil Gorsuch, was sworn in on April 10, 2017, too late to have an impact on the criminal side of the 2016-2017 Term’s ledger. He participated in only three of the twenty-two cases we discuss here,2 and none of his votes was decisive. This was one Term, one Court. Two characteristics mark the Term. One is a light criminal law docket (with some significant rulings, but no blockbusters). The other is a relatively high degree of consensus— a high percentage of unanimous opinions—as well as fewer merits cases determined by a single vote than in the five previous Terms with a full Court.3 The October 2017 term may well be different
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