Topic
Information quality
About: Information quality is a research topic. Over the lifetime, 10596 publications have been published within this topic receiving 261433 citations. The topic is also known as: quality of information.
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13 Oct 2011
TL;DR: The main goal of the research works presented herein was to find answers to the subsequent questions: ‘In the context of attribute information fusion in C2 systems, is it reasonable to extend the information scope of a sensor?’ and ‘Does the extension of the sensor information scope always provide tangible benefits in quality of fusion?'
Abstract: This paper describes the results of numerical experiments devoted to examination of influence of the target attribute hypotheses definitions on quality of information fusion. The main goal of the research works presented herein was to find answers to the subsequent questions: ‘In the context of attribute information fusion in C2 systems, is it reasonable to extend the information scope of a sensor?’ and ‘Does the extension of the sensor information scope always provide tangible benefits in quality of fusion?’. In order to achieve that there have been defined two measures: decision robustness and decision deviation. In the experimentation Dezert-Smarandache Theory has been used as the main fusion engine.
DOI•
01 Jan 2016
TL;DR: In this paper, the authors study three game theoretic models of pricing, in which a seller is interested in optimally pricing and allocating her product or service to a market of agents, in order to maximize her revenue.
Abstract: This thesis studies three game theoretic models of pricing, in which a seller is interested in optimally pricing and allocating her product or service to a market of agents, in order to maximize her revenue. These markets feature a large number of self-interested agents, who are generally heterogeneous with respect to some payoff relevant feature, e.g., willingness to pay when agents are consumers or private cost when agents are firms. Agents strategically interact with one another, and their actions affect other agents' payoffs, either directly through social influence or competition, or indirectly through a review system. The seller has demand uncertainty and strives to optimize expected discounted revenues. I use either a mean-field approximation or a continuum of agents assumption to reduce the complexity of the problems and provide crisp characterizations of system aggregates and equilibrium policies. Chapter 2 considers the problem of an information provider who sells information products, such as demand forecasts, to a market of firms that compete with one another in a downstream market. We propose a general model that subsumes both price and quantity competition as special cases. We characterize the optimal selling strategy and find that it depends on both mode and intensity of competition. Several important extensions to heterogeneous production costs, information quality discrimination, and information leakage through aggregate actions are studied.
Chapter 3 considers the problem of optimally extracting a stream of revenues from a sequence of consumers, who have heterogeneous willingness to pay and uncertainty about the quality of the product being sold. Using an intuitive maximum likelihood procedure, we characterize the solution of consumers' quality estimation problem. Then, we use a mean-field approximation to characterize the transient dynamics of quality estimates and demand. These allow us to simplify and solve the monopolist's problem, and ultimately provide a characterization of her optimal pricing policy.
Chapter 4 considers the problem of a seller who is interested in dynamically pricing her product when consumers' utility is influenced by the mass of consumers that have purchased in the past. Two scenarios are studied, one in which the monopolist has commitment power and one in which she does not. We characterize the optimal selling strategy under both scenarios and derive comparisons on equilibrium prices and demands. Our main result is a characterization of the value of price commitment as a function of the social influence level in the market.
12 Aug 2020
TL;DR: Wang et al. as mentioned in this paper proposed a meta-search engine which ranks the results based on web page information quality evaluation algorithm, which is calculated based on the title of the web page, the abstract of web page and the source of the Web page, and the results show that its search accuracy and user experience are obviously better than the current general search engines.
Abstract: This paper demonstrates a meta-search engine developed by the authors, which ranks the results based on web page information quality evaluation algorithm. The web page information quality score is calculated based on the title of the web page, the abstract of the web page and the source of the web page. The quality of web page can be evaluated by these factors. When a user submits an input, the proposed meta-search engine system collects the results from some general search engines like Baidu, Bing, Sogou and so on, and rank the web pages according to their information quality scores. Because we do not need a local database to store a large amount of data, all operations are completed in the cache, which greatly reduces system consumption. The system is evaluated by three kinds of representative queries, and the results show that its search accuracy and user experience are obviously better than the current general search engines.
27 Dec 2019
TL;DR: This chapter is a sort of conclusion for this book on the use of possibility theory in the design of information fusion systems and presents the overall picture of FIAT-based design in which possibility theory can be of practical use.
Abstract: Fusion of Information and Analytics Technologies (FIAT) are key enablers for the design of current and future decision support systems to support prognosis, diagnosis, and prescriptive tasks in such complex environments. Hundreds of methods and technologies exist, and possibility theory is one of them. Several books have been dedicated to either analytics or information fusion so far. This chapter is a sort of conclusion for this book on the use of possibility theory in the design of information fusion systems. It presents the overall picture of FIAT-based design in which possibility theory can be of practical use.
TL;DR: In this article, the analysis of information user's satisfaction/dissatisfaction on information quality was performed through a depth interview with 18 fashion information users who were working at fashion apparel industry during October to November 2007.
Abstract: : This study was fulfilled in the purpose of proposing construction strategies of fashion information industrythrough the analysis of information user's satisfaction/dissatisfaction on information quality. The research was performedthrough a depth interview. Data were collected from 18 fashion information users(designers and merchandisers) who wereworking at fashion apparel industry during October to November 2007. Results from the study showed that there werethree dimensions and 18 components of satisfaction/dissatisfaction on fashion information quality: Information qual-ity(understandability, value-added, level of detail, relevance, diversity, objectivity, completeness, accuracy, quantitative-ness), Service quality(responsiveness, accessibility, cost efficiency, empathy, reliability), System quality(currency, ease ofuse, format, timeliness). And the information users were perceiving that there were some changes in notion of preferringinformation, searching for information and usage of information. Key words:Information quality, Fashion information users, Satisfaction/Dissatisfaction, Qualitative study