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Risk management of engineering project is a complicated uncertainty problem. Based on the theory of set pair analysis (SPA), stochastic simulation of triangular fuzzy numbers, herein, a novel analysis model for the project risk management was discussed. A concept of multi-element connection number of the set pair was introduced to express the hierarchy and fuzziness of membership between the evaluation...
The risk evaluation of shrink and expansion of the expansive soil is essential to evaluate properly the engineering stability and safety. Herein a novel risk model for the analysis of the grade of shrink and expansion for the expansive soil was discussed by means of coupling set pair analysis with stochastic simulation of triangular fuzzy numbers. A concept of multi-element connection number of the...
Optimization method with triangular fuzzy numbers is introduced to describe the expected yield rate and risk loss of securities investment, and a combinational fuzzy optimization model of inclinations with exchange fee to avoid risks is presented in this paper. The experimental results on the data investigated from real-world securities markets show that our new method exploits a new strategy for...
Evaluating and selecting alternatives from available alternatives with respect to multiple, often conflicting criteria in a group decision making setting is complex and challenging due to the risk associated with the uncertainty and imprecision existent in the human decision making process. To effectively solve this problem, this paper proposes a risk-oriented group decision making approach for adequately...
The risk analysis of highway traffic safety is a uncertainty system problem. Based on the theory of set pair analysis, stochastic simulation of triangular fuzzy numbers, herein a risk analysis model for the highway traffic safety was discussed. A concept of multi-element connection number of the set pair, which was consisted of evaluation index sets and classification standard sets of the highway...
The evaluation of economic efficiency of industrial enterprises is a comprehensive uncertainty system problem. Based on the theory of set pair analysis, stochastic simulation of triangular fuzzy numbers, a novel evaluation method for the economic efficiency of industrial enterprises was investigated in this paper. A concept of multi-element connection number of the set pair, which was consisted of...
After systematic analysis of hazard factors of network sureness and evaluation process, a quantitative sureness evaluation method is presented based on fuzzy number operations. First of all, both the fuzziness of the indices and the uncertainty of weight determination are considered. The grades of fuzzy language variables are given, and the opinions of multi experts are integrated to triangular fuzzy...
In this paper an information entropy assessment measure of supply chain system risk and a decision-making method based on combined fuzzy weight and entropy weight in which the input of score matrix are triangular fuzzy numbers are proposed. The individual's intuitive attitude toward risk is just reflected by the fuzzy weight measure of risk. An index system under supply chain risks is established...
In this paper, the classical semi-Markov model in discrete time is extended to semi-Markov model with fuzzy transitions and fuzzy states. The definition and the basic equation for interval transitions of a semi-Markov model with fuzzy transitions are provided. Also the interval transitions for the above model with fuzzy states is provided for the homogeneous case and we apply this fuzzy technique...
Design scheme selection of railway freight car is a multiple criteria decision-making (MCDM) problem which includes fuzzy and uncertain factors. In order to obtain the optimal alternative in the decision-maker judgment, a model of combining fuzzy set theory with an analytic hierarchy process (AHP) is proposed. Using the triangular fuzzy numbers as a pair-wise comparison scale derives the priorities...
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...
E-commerce is one of the most important developments in Internet application. To be successful in the e-commerce marketplace organizations will need to provide high quality web sites that attract and retain users. Hence, evaluation methods for the effectiveness of e-commerce Web sites are a critical issue in both practice and research. The evaluation process involves human subjectivity and it is a...
In the process of risk investment decision-making, real option which is one of the key issues in the research of finance engineering is very important to enforce flexibility of management decision. As for appraising methodology, the real option approach is used. However, The investment circumstance is always vague. That is to say, the information we need is incomplete. The uncertainty influences the...
Hierarchy model of real estate investment risk is established. Through using triangular fuzzy numbers and analytic hierarchy process, we have evaluated the risk of real estate, and identified the risk factors for the overall impact on real estate investment project.
In the sequel, we consider the fuzzy job-shop problem, which is a variation of the job-shop problem where duration of tasks may be uncertain and where due-date constraints are allowed to be flexible. Uncertain durations are modeled using triangular fuzzy numbers, and due-date constraints are fuzzy sets with decreasing membership functions expressing a flexible threshold ldquoless than.rdquo Also,...
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