It is easy for an expert to express his/her preferences using fuzzy linguistic term such as ‘good’, ‘very good’ in group decision making because of uncertainty existing. The linguistic 2-tuple representation model was selected to represent fuzzy linguistic term. To obtain the objective decision power in a linguistic 2-tuple judgment matrix given by an expert, the paper put forward a new approac...

nowadays, the problem of the flexibility in any organization has essential importance and the associated investigation with the organizational efficiency and performance is considered. in real-world situation, the process of decision making is often based on linguistic and mental data, so applying fuzzy logic in modeling at this point of view is convenient. in this paper, a fuzzy approach is ap...

Fuzzy set based methods have been proved to be effective in handling many types of uncertainties in different fields, including reliability engineering. This paper presents a new approach on fuzzy reliability, based on the use of beta type distribution as membership function. Considering experts' ideas and by asking operators linguistic variables, a rule base is designed to determine the level ...

Fuzzy logic has proved to be a powerful tool to represent imprecise and irregular patterns. Thus the representation of handwriting parameters is accomplished with fuzzy linguistic modeling. The development of a multi-layered rule based handwriting recognition system is described. The selection of the representative features, which describe the shapes and location of segments, is the core of the...

Service adoption analysis is a useful instrument for reducing the risk of new service development and launch. The purpose of this study is to develop a 2-tuple fuzzy linguistic approach for assessing the intention level of service adoption. In doing so, a theoretical framework for service adoption analysis is proposed. Under this framework, a 2-tuple fuzzy linguistic approach is then proposed f...

This paper presents a group evaluation structure model for evaluating the knowledge management capability (KMC) of an organization. An algorithm is also proposed to determine the degrees of KMC of an organization using a fuzzy linguistic approach. With the results of the degree of KMC, an organization can decide when and where to improve its KMC. A practical example is used to illustrate the ap...

In this paper, we generalize Ying’s model of linguistic quantifiers [M.S. Ying, Linguistic quantifiers modeled by Sugeno integrals, Artificial Intelligence, 170 (2006) 581-606] to intuitionistic linguistic quantifiers. An intuitionistic linguistic quantifier is represented by a family of intuitionistic fuzzy-valued fuzzy measures and the intuitionistic truth value (the degrees of satisfaction a...

Data is often partially known, vague or ambiguous in many real world applications. To deal with such imprecise information, fuzziness is introduced in the classical model. SQLf is one of the practical language to deal with flexible fuzzy querying in Fuzzy DataBases (FDB). However, with a huge amount of fuzzy data, the necessity to work with synthetic views became a challenge for many DB communi...

Web server workload forecasting is one of the essential considerations in web server management and network upgrading. Due to variability of server workload distribution originated from unpredictable users’ surfing behavior, the measurement of Web server performance metrics is characterized and modeled in fuzzy manner. A fuzzy inference system is formed using four Web server performance metrics...

Employee being knowledge asset for an organization, employee evaluation is carried out by the organizations for performance appraisal and rewards to be given to the employees. Employee evaluation represents a critically important decision that often involves subjective information. An impartial assessment of this subjective information is difficult. Thus employee evaluation is vague, uncertain ...