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The fuzzy and integrative methods can be used in translation quality evaluation. A statistic and quantitative method named FIEM (fuzzy integrated evaluation method) was introduced to evaluate two translated texts (target texts). The model of FIEM is composed by the element set, evaluation set, threshold vectors and evaluation matrix, which first two sets are both fuzzy. The results of case study and...
The inclusion measure indicates the degree that a fuzzy set is contained in another fuzzy set and can be used in many fields. However, the inclusion measure between type-2 fuzzy sets has received little attention. Hence in this paper, we propose an inclusion measure for general type-2 fuzzy sets. Firstly, we select an axiomatic definition for the new inclusion measure. Then, according to the selected...
Ontology is playing an increasingly important role in knowledge management and the Semantic Web. The tourism information ontology is becoming a core research field in the realm of information retrieval. The objective of this study is to explore the potential role of Formal Concept Analysis (FCA) in a web-based ontology construction support system in a tourism domain. An ontology construction method...
Combinational ambiguity is a challenging issue in Chinese word segmentation in that its disambiguation depends on the contextual information. This paper collects contextual information of 28 typical combinational ambiguity strings, and makes use of lexical, syntactic and semantic knowledge and large scale corpus to summarize the rules of these combinational ambiguity strings. Using these rules to...
In this paper, evaluation scales of linguistic information are investigated. Some important evaluation scales are reviewed, and two new evaluation scales based on normal distribution are proposed. The main advantage of the new evaluation scales is that the distribution of deviations between two adjacent terms is more rational.
This paper presents a novel method for multiple attribute decision making problems, in which interval numbers are used to assess the weights of attributes, and fuzzy linguistic variables are utilized to evaluate the suitability of alternatives versus various attributes. In the face of interval attribute weights, a definition of effective attribute weights and its representation are developed. Based...
The inter-sentence semantic relation is a semantic relation where exists between adjacent sentences in the context of the discourse. Accurate recognizing of inter-sentence semantic relation is of great significance to text understanding, text reasoning and text structure analysis. However, because of the impact of a number of factors, such as discourse context environment, anaphora resolution and...
As today's financial market is highly dynamics and comprised of complex factors, few robust models are available for supporting value investors and most of the investment decisions are mainly relied on the judgments of senior investment experts. Among accounting-based fundamental analysis, F-Score system has been a widely accepted model for value investing. F-Score system proposed nine fundamental...
The use of folksonomies involves several problems due to its lack of semantics associated with them. The nature of these structures makes difficult the process to enrich them semantically by the association of meaningful terms of the Semantic Web. This task implies a phase of disambiguation and another of expansion of the initial tagset, returning an increased contextualised set where synonyms, hyperonyms,...
To remain competitive in the market, decision makers (DMs) have to regularly measure and evaluate the process performance of organizations. In this study, performance of a manufacturing company pertaining to 10 manufacturing job shops was measured and evaluated by utilizing a new Multiple Criteria Decision Making methodology (MCDM). This new methodology consists of combined Fuzzy TOPSIS (Technique...
A new approach based on evidential reasoning is introduced to synthesize linguistic judgment information of experts. Firstly, the basic probability assignment (BPA) of each focal element is calculated by dealing with the incomplete linguistic decision matrix given by different experts. The consistence and adjustment problem for the BPA among experts is analyzed so as to propose the rule of combination...
Computing with words (CWW) is an extension of fuzzy sets and fuzzy logic theory. A method of constraint retranslation for CWW based on the calculation of retranslation weights is proposed in this paper. Firstly, this paper points out the importance of closeness degree and containment degree between the fuzzy subsets of candidate words and consequent constraint in obtaining faithful retranslation result...
Granular computing is the key to granular neural networks, and in fact it is also the main problem in knowledge discovery and data mining. This paper addresses fuzzy information extraction and granular computing in granular neural networks in order that fuzzy rules can be discovered from fuzzy information which is difficult to be measured accurately with numerical data and furthermore the missing...
In supply chain system, site selection of nodes is one of important decision issues. To encompass uncertainty and vagueness of messages, we utilize a fuzzy multi-criteria decision-making(FMCDM) method called fuzzy TOPSIS to solve the site selection problem under fuzzy environment. By fuzzy TOPSIS, alternatives' extreme solutions are found, and the distances between alternatives and extreme solutions...
The task of achieving competent artificial natural language systems is enormous. Advances in hardware and the structural analysis of verbalizations have outpaced theories of language and cognition. Functional contextualism, a behavioral approach in psychology, has seen the rise of relational frame theory, which offers an alternative conceptualization of language and cognition. This theory is based...
In the process of concept design of bridges, it is necessary to select the best from feasible alternatives through comparison and filter. The criterion set, used to evaluate and select the satisfying alternative, consists of many qualitative and quantitative factors. Therefore, the selection is a problem of multi-criteria and semi-structural decision making. Different from traditional methods in semi-structural...
Discovery the association between web pages is an important task as the rapid growth of web data. This article uses the fuzzy method to discover generalized fuzzy association rules among theWeb pages fromWeb logs. In the paper, whether a web page is visited or not and time duration on it are considered two important factors to reflect users' interest and preference. Numerical time duration is fuzzified...
Based on the fuzzy probability theory of the third kind of fuzzy events, a new multi-objective optimization model of fuzzy probability is developed. And the application procedure of the fuzzy probability model is illuminated in detail. In order to assess index weighted value scientifically, the analytic hierarchy process (AHP) is introduced into the fuzzy weighted values to avoid the uncertainties...
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