Novel Model for the Computation of Linguistic Hedges in Database Queries

Most query languages are designed to retrieve information from databases containing precise and certain data using precisely specified commands. Due to the advancements in various kinds of data repositories in the recent years, there is a steep increase in complex queries. Most of the complex Queries are uncertain and vague. The existing Structured Query Language exhibits its inefficiency in handling these complex Queries. This paper proposes a model to handle the complexities by using fuzzy set theory. In this model, the Fuzzy Query with linguistic hedges is converted into Crisp Query, by deploying an application layer over the Structured Query Language

Querying Capability Enhancement in Database Using Fuzzy Logic

We already know that Structured Query Language (SQL) is a very powerful tool. It handles data, which is crisp and precise in nature.but it is unable to satisfy the needs for data which is uncertain, imprecise, inapplicable and vague in nature. The goal of this work is to use Fuzzy techniques i.e linguistic expressions and degrees of truth whose result are presented in this paper. For this purpose we have developed the fuzzy generalized logical condition for the WHERE part of SQL. In this way, fuzzy queries are accessing relational databases in the same way as with SQL. These queries with linguistic hedges are converted into Crisp Query, by deploying an application layer over the Structured Query Languag

Treatment of imprecision in data repositories with the aid of KNOLAP

Traditional data repositories introduced for the needs of business processing, typically focus on the storage and querying of crisp domains of data. As a result, current commercial data repositories have no facilities for either storing or querying imprecise/ approximate data. No significant attempt has been made for a generic and applicationindependent representation of value imprecision mainly as a property of axes of analysis and also as part of dynamic environment, where potential users may wish to define their “own” axes of analysis for querying either precise or imprecise facts. In such cases, measured values and facts are characterised by descriptive values drawn from a number of dimensions, whereas values of a dimension are organised as hierarchical levels. A solution named H-IFS is presented that allows the representation of flexible hierarchies as part of the dimension structures. An extended multidimensional model named IF-Cube is put forward, which allows the representation of imprecision in facts and dimensions and answering of queries based on imprecise hierarchical preferences. Based on the H-IFS and IF-Cube concepts, a post relational OLAP environment is delivered, the implementation of which is DBMS independent and its performance solely dependent on the underlying DBMS engine

An extended COPRAS model for multi-criteria decision-making problems and its application in web-based hotel evaluation and selection

Facilitation of suitable accommodation for different travellers is the prime concern of travel agencies. Travel agencies must keep themselves competitive and sustain a good pace of growth to continue raising profits by attracting and retaining as many tourists as possible through meeting their various prospective needs. To achieve this, the agencies must prepare well-organised data for hotels and destinations from a quality control perspective. Initially, the hotels are ranked and evaluated according to performance across several criteria from the tourists’viewpoint. The relative importance of each criterion is mainly subjective and depends on the assessor’s judgement. Additionally, hotels’ rankings vary across different websites, resulting in inconsistencies. To handle such inconsistencies and subjectivity, this paper presents a collective decision-making evaluation framework by integrating a weighted interval rough number (WIRN) method and a WIRN- based complex proportional assessment (COPRAS) model to evaluate and rank hotels. An empirical example and a real-world case study from the Indian tourism industry are presented to validate the applicability of the proposed framework. Finally, a comparison and sensitivity analysis are performed to examine the validity and robustness of the proposed model

A Decision Support System for Integrated Risk Management

This report provides a detailed description of the Risk Assessment Support System (RASS) for use in municipal water supply. The report explores the utility of the developed support system for evaluating the performance of a complex water supply system. A regional water supply system for the city of London is used as the case study. The theoretical foundations and computational requirements for the implementation of the RASS are provided in the report.https://ir.lib.uwo.ca/wrrr/1013/thumbnail.jp

A computational analysis of hedging in English to Polish translations of film subtitles.

openThe thesis presents a new pragmatic annotation scheme for the phenomenon of hedging which allows for a computational analysis of its occurrences in English and Polish film subtitles. First and foremost, the definition of the concept of hedging is provided, as well as an overview of its evolution within linguistic studies and its several classifications. The general notions concerning linguistic annotation and parallel corpora are discussed in the following sections, along with some references to the relevance of a computational analysis to other fields of study, such as computer-assisted translation. The second chapter introduces the Opensubtitles and the ParTy corpora and explains the selection of texts which, having been converted into CONLL-U format, are subsequently the object of a quantitative and contrastive analysis of various occurrences of hedges in English original material and its Polish translation. Thus assembled evidence constitutes the basis for the development of a pragmatic annotation scheme specific to hedges. Lastly, the application of the aforementioned scheme to the chosen texts allows for a more thorough analysis and discussion of certain cases presenting the phenomenon in question. The thesis ends with some considerations on the value of the annotation scheme for future study.The thesis presents a new pragmatic annotation scheme for the phenomenon of hedging which allows for a computational analysis of its occurrences in English and Polish film subtitles. First and foremost, the definition of the concept of hedging is provided, as well as an overview of its evolution within linguistic studies and its several classifications. The general notions concerning linguistic annotation and parallel corpora are discussed in the following sections, along with some references to the relevance of a computational analysis to other fields of study, such as computer-assisted translation. The second chapter introduces the Opensubtitles and the ParTy corpora and explains the selection of texts which, having been converted into CONLL-U format, are subsequently the object of a quantitative and contrastive analysis of various occurrences of hedges in English original material and its Polish translation. Thus assembled evidence constitutes the basis for the development of a pragmatic annotation scheme specific to hedges. Lastly, the application of the aforementioned scheme to the chosen texts allows for a more thorough analysis and discussion of certain cases presenting the phenomenon in question. The thesis ends with some considerations on the value of the annotation scheme for future study

Towards A Spatial Model of Rurality

The term rural is used to describe people, places, traditions, and spaces. It is often employed as a setting for study as well as an object of study. People’s perceptions of rural are confused and differ considerably. For over a century researchers have attempted to define more precisely this term using social, economic, and or ecological components. However, problems of interpreting official definitions and measurements exist. These definitions require extensions in order to capture a more objective meaning of the word. This thesis presents the foundations of a new approach to measuring and defining rurality. A spatial based approach is taken in which explicitly spatial data instead of social or economic data are collected and indexed. The index is divided into two clusters, a connectivity cluster and an access-to-service cluster. The indicators in the clusters are chosen based on a list of criteria taken from the Institute for International Development. The model employs mathematical foundations of both topology and metrics. The use of fuzzy measures to determine a degree of rurality, instead of classical set theory, enhances the model. A degree of connectivity, a degree of accessibility, and an overall degree of rurality is determined. The model also incorporates scale. The granularity of an indicator depends on a user-required level of detail. The data are manipulated and analyzed in a GIS. The spatial index is tested on a number of towns throughout Maine. A graphical user interface illustrates the results in an easy to understand format. The results of this thesis show that a spatial approach to defining rural extends formal definitions to capture a different facet of rurality, a degree of rurality. Furthermore, spatial, temporal and attribute queries are possible enabling users a choice given a particular task

Tartu Ülikooli toimetised. Tööd semiootika alalt. 1964-1992. 0259-4668

http://www.ester.ee/record=b1331700*es