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The intuitionistic fuzzy set which is characterized by a membership degree and a non-membership degree, is a very powerful and useful tool to cope with fuzziness and uncertainty. Recently, the Pythagorean fuzzy set which is an extension of the intuitionistic fuzzy set has been introduced. In this paper, we focus on multi-attribute decision making with Pythagorean fuzzy information. First of all, considering...
The author analyses classification of the methods for evaluation of an enterprise's innovative potential. According to the author, the most effective model taking into account the uncertainty factor is the model based on the theory of fuzzy sets. The model has obvious advantages in comparison with the expert and statistical methods of evaluation, since it allows us to minimize the evaluation errors...
The calculation of the premium cost of an option exchange is usually computed by the different mathematical models that obtain the degree of uncertainty in the financial market by Black-Scholes method though such a degree is inaccurate. In order to improve the management of uncertainty the use of fuzzy logic makes possible to capture a better reality of the derivatives market in an uncertain environment...
Identifying matched local government areas (LGAs) through indicators such as socio-demography, economic and industrial development, and environmental variables has significant effects on public service management. Profiling of LGAs can be a fundamental activity for cooperation between government authorities to assist in the coordination tasks and facilitate decision making in short or long term planning...
Fuzzy linear regression is applied to the real estate appraisal and to the evaluation of parameters of the relationship between the stock of knowledge and R&D. In both cases fuzzy linear regression yields results that have meaningful economic interpretation.
The notion of Triangular intuitionistic fuzzy numbers (TIFNs) is very useful and interesting in Multiple Attribute Decision Making (MADM) problems for quantifying uncertainty and subjectivity, but the ranking of TIFNs is not an easy problem. The aim of this paper is to propose a new approach to rank TIFNs. The concepts and operational laws of TIFNs are introduced. Then a new approach is developed...
Building on our previous work, we examine the effect of role specialisation on a society using a scenario from the area of comparative economics. In connection with this our central contribution is the use of Interval Type-2 Fuzzy Sets to model emerging normative understanding, which is represented using the concept of Dynamic Deon tics. This integrated mechanism, along with a supporting visualisation...
Although there are many methods for ranking type-1 fuzzy numbers, most of which exist some limitations. In this paper, we firstly propose a new distance measure based method to rank type-1 fuzzy numbers, which defines two formats of possibility mean and variation coefficient. It not only clearly discriminates the ranking of the type-1 fuzzy numbers especially for the reasonable ranking of symmetric...
This paper treats risk theory by means of credibility theory. The focus is on risk situations represented by discrete fuzzy variables. They can be useful to an agent in the decision-making process of credibilistic risk problems. An index of riskiness of Aumann-Serrano type for discrete credibilistic gambles is defined and the proofs are provided. The main result of the paper is credibilistic version...
In the paper, the convergence in credibility measure and the convergence in credibility distribution of fuzzy variable is discussed based on uncertainty theory.
In the paper, some properties related to characteristic function, density function and credibility distribution function of uncertain variable are discussed based on uncertainty theory.
Aiming at the complexity of emergency decisionmaking, this paper proposes a group decision-making model based on interval-valued intuitionistic fuzzy set.Through gathering the experts' evaluations in interval-valued intuitionistic fuzzy matric, we measure consistent estimate level of experts' judgment and present a solution to get the expert weights, then obtain ranking of contingency plans through...
The improved fuzzy comprehensive evaluation model of construction diversion schemes is established in the paper by introducing Vague set theory, which considers various technical conditions and economic indexes. The method overcomes the limitation that the traditional fuzzy sets can not reflect the hesitating information between positive and negative. The model is applied to the diversion schemes...
In the paper, vague set theory is introduced into the study of e-commerce recommendation system to solve its quality problem. Vague set proposes true membership degree and false membership degree based on fuzzy set and can vividly express the uncertainty of the development of things. The existence of uncertainty of customer Behavior in the course of e-commerce provides a theoretical basis for the...
This paper presents a new method (fuzzy pay-off method) for real option valuation using fuzzy numbers that is based on findings from earlier real option valuation methods and from fuzzy real option valuation. The method is intuitive to understand and far less complicated than any previous real option valuation model to date. The paper also presents the use of triangular and trapezoidal fuzzy numbers...
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