The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In the process of software quality evaluation, there are two main problems. One is how to solve the uncertainty of attributes. The other is how to solve the operation between qualitative and quantitative. So, the paper uses cloud model, and proposes a fuzzy multi-attribute cloud evaluation method. And then it is used to evaluate the quality of software, and get active result. The result shows it can...
In game theory, two or more parties need to make decisions with fully or partially conflicting objectives. In situations where reaching a more favourable outcome depends upon cooperation between the two conflicting parties, some of the mental and subjective attitudes of the decision makers must be considered. While the decision to cooperate with others bears some risks due to uncertainty and loss...
There has been a trend in interest towards firms' environmental sustainability activities to improve environmental practices in their supply chain. This study aims to present linguistic preferences to deal with supplier evaluation of firm's green supply chain management criteria (GSCM) with incomplete information. Nevertheless, the suitable supplier is a key strategic direction in eliminating environmental...
During the evaluation of multi-source information system, uncertainty exists widely. In order to use and process the uncertainty and improve the creditability of system evaluation, this paper based on the cloud theory, studied the mapping method between nature variable and quantity variable. At the same time, the paper promoted a novel evaluation method of system performance based on the cloud theory...
A novel particle swarm optimization algorithm for multi-objective optimization (MOO) based on fuzzy velocity updating strategy is developed and implemented in this paper. The proposed algorithm incorporates fuzzy velocity updating strategy, which can characterize to some extent the uncertainty on the true optimality of the global best position, into particle swarm optimization (PSO) so as to avoid...
The paper considers the problem of classification error in pattern recognition. This model of classification is primarily based on the Bayes rule and secondarily on the notion of fuzzy numbers. A probability of misclassifications is derived for a classifier under the assumption that the features are class-conditionally statistically independent, and we have fuzzy information on object features instead...
In this paper we present a novel way of modeling the transformer load variation using Fuzzy Sets. A standard rural distribution transformer load variation that is uncertain over a period of 24-hour duration is modeled as fuzzy trapezoidal membership functions (Type-1). Here we have considered a rural distribution feeder as our test system, for which total kVA duration curves are measured for each...
In the case of fuzzy strength and fuzzy stress, it is difficult to obtain the accuracy fuzzy reliability since the membership function of fuzzy safety event is not known. A method for calculating the bounds of fuzzy reliability is proposed to determine this problem. Firstly, fuzzy strength and fuzzy stress are remodeled into random sets. Then, the limit state function of a structure with fuzzy strength...
Links in Challenged Networks, particularly in Delay Tolerance Networks, are mostly disconnected due to the mobility, fallibility and scarcity of nodes. Owing to its intermittent connectivity, there exists substantive uncertainty, in which fuzziness and randomness are the most important and fundamental. In this paper, in virtue of the relationship analysis between fuzziness and randomness, we discuss...
Based on Fuzzy Theory, this paper proposes an exposure path algorithm for a point and for a path in sensor networks. The fuzzy information exposure path of a point is defined as the function of the distance between sensors and objects. Within a fixed distance, the less the distance is, the higher the exposure. The fuzzy information exposure for a path is the average fuzzy information exposure of all...
This paper examines the framework of preference structures for the general treatment of information. First some fuzzy preference structures are introduced and then, by means of ambiguity and coherence measures, certain attributes of information can be explicitly identified and studied. This investigation is also relevant for a general discussion on fuzzy preference semantics.
With the continued spread of economic globalization, increasing strategy risks facing to enterprises cause widespread concern, evaluation of Enterprise Strategy Risk has important practical significance for scientific decision-making, resource optimizing, competitive advantage achieving and potential sustainable development. We use the improved AHP and entropy weight method to set up the business...
In order to measure fuzzy uncertainty of fuzzy rough set, a cross fuzzy entropy (CFE) measuring method based on the notion of rough membership in fuzzy rough set is defined combing with the analysis of fuzzy entropy in fuzzy set, the relative properties are analyzed. This method can not only measure fuzzy uncertainty of fuzzy rough set, but also indirectly reflect rough uncertainty contained in data...
Lots of risks existed in the process of Emergency Logistics especially when natural disasters happened. Evaluation research on Emergency Logistics Risks (ELR) is the basis of effective early warning and responding to risks, so it's of great theoretical and practical significance to establish an early warning index system for ELR. Firstly, some foundation research about ELR was carried out, including...
In this paper, the multi-period fuzzy multi-attribute decision making is discussed, where the attribute values are considered as triangular fuzzy variables. A new approach to determine the weights of all periods is proposed. The weighted distance operator and the dynamic weighted distance operator are proposed. A distance method for multi-period fuzzy multi-attribute decision making is presented....
Dynamic uncertainties, manifested as input noise or variable environment conditions, are an inherent part of most real world control applications. Recently, several researchers demonstrated that Type-2 Fuzzy Logic Controllers (T2 FLC) are able to cope with such uncertainty and reduce its negative effects. However, the design and optimization of T2 FLC and its subsequent unbiased comparison to T1 FLC...
Aiming at threshold uncertainty caused by fuzziness of image for image segmentation, an adaptive thresholding method for gray-level image segmentation using type-II fuzzy sets is proposed . Fuzzy index is got using type-II fuzzy sets technique, that can overcome effectively the uncertainty, histogram peaks value of an image can be find out automatically based on maximum Mahalanobis distance and minimum...
This paper establishes a post-evaluation index system which can be used to economic benefits post-evaluation on the grid construction projects. According to the features of this project evaluation, the membership functions using to evaluate indexes is formed and the value weight is determined by fuzzy AHP .Then, this method is applied to one project with economic effects evaluation. This method can...
In this paper, innovation and management for fuzzy front end of product design are studied. In view of the whole development trend and mode of product design, the innovative idea on a whole product concept in fuzzy front end was put forward. Sources of product conceiving and finding its methods were carefully studied, and an effective screening flow of product ideas and the judgment flow of feasibility...
Hard sensor provided information generally has a probabilistic type of uncertainty whereas soft linguistic information typically introduces a possibilistic type of uncertainty.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.