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 this paper, first, we point out that fuzzy integers are not special cases of fuzzy numbers. Then, we define the concept of fuzzy integers, develop the methods for establishing rankings and total orderings on sets of fuzzy integers, and discuss the interrelationships between rankings and total orderings.
Credit risk assessment is a crucial process for financial institutions when granting commercial loans. However, the manual analysis of the overall condition of firms through customer due diligence reports is costly for both time and labor. This paper proposes a novel credit risk evaluation approach using GMKL model to automate the decision-making process. Sentiment indexes are generated by mining...
The integrators are facing the problems of so many decision attributes and few data samples for decision-making analysis when evaluating the partners of collaboration and innovation in complex products and systems(CoPS). Firstly, this paper created a trust evaluation model of collaborative partners in CoPS. Secondly, followed by the application of RS attribute reduction as a data pre-processing removes...
To date, various fields of applications have utilized spatio-temporal databases not only to store data, but to support decision making. For example, in traffic accident analysis; it is required to have knowledge on the pattern of accidents resulting in death. Thus, in such analysis, clustering technique is desired to implement pattern extraction. This paper presents clustering of spatio-temporal database...
The performance assessment of supply chain plays an important role in supply chain management of enterprises. In this paper, we set up performance evaluation index system including business process, financing, client, study and development of supply chain by balanced scorecard (BSC) method. The comprehension evaluation model of supply chain performance based on least squares support vector machines...
This article sets up a supply chain performance prediction model based on rough sets and support vector regression machine (SVR) from knowledge discovery and data mining perspectives. According to a supply chain performance prediction example, the index can be reduced based on balanced scorecard system, and input the reduction index to SVR for training. Then, the forecast sample are put in the model...
Facing the problems of so many decision attributes and few data samples for decision-making analysis when the integrators in complex products and systems evaluate the partners of collaboration and innovation, this paper creates a trust evaluation model of collaborative partners in CoPS based on rough set and (RS) Support Vector Machines (SVM). In this paper, firstly, trust evaluation system about...
In this paper, according to the characteristics of the third-party logistics (3PLs) provider selection, we put forward a new method for third-party logistics provider selection. A new evaluation model with Rough set and particle swarm optimization(PSO) neural network is founded based on the comprehensive evaluation index system of 3PL provider selection environment, A neural network model to the problem...
For implementing supply chain management effectively, a manufacturing supply chain performance evaluation method was very important. Based on the comprehensive evaluation index system of supply chain performance evaluation, a new evaluation model with support vector machine (SVM) and rough set is founded. Rough set is introduced to reduce numbers of evaluation indicators, thus reducing the dimensions...
Enterprise performance evaluation is an important means of enterprise management, which can diagnose the whole development status of enterprise. Data envelopment analysis (DEA) is one of the most frequently used evaluation methods and support vector machine (SVM) is a novel method of data mining, which can be used for prediction and regression. Based on DEA and SVM, the paper proposes a method for...
In this paper, according to the characteristics of the third-party logistics (3PLs) provider selection, we put forward a new method for third-party logistics (3PL) provider selection. Based on the comprehensive evaluation index system of 3PL provider selection environment, a new evaluation model with Support vector machine (SVM) and Rough set is founded. Rough Set is introduced to reduce numbers of...
The stable prices rose in the real estate market attracted a large amount of funds injected into it, to choose a good investment environment has been a keyto get profit from investment. In this paper, a Support Vector Machine (SVM) model is founded to do the evaluation. Based on the comprehensive evaluation index system of real estate investment environment, Rough set (RS) is introduced to reduce...
In view of electricity customer credit evaluation lacking of precise index system and hardly quantifying subjective factors and experience factors, fuzzy expected value decision-making method modified by least squares support vector machine (LS-SVM) is presented. Firstly, electricity customer credit evaluation index system is constructed; the indices values and subjective experiences values are given...
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.