دانلود رایگان مقاله انگلیسی معیارهای جدید عدم قطعیت برای یک سیستم اطلاعات ارزشمند بر حسب فاصله - الزویر 2019

عنوان فارسی
معیارهای جدید عدم قطعیت برای یک سیستم اطلاعات ارزشمند بر حسب فاصله
عنوان انگلیسی
New measures of uncertainty for an interval-valued information system
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
19
سال انتشار
2019
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
نوع مقاله
ISI
نوع نگارش
مقالات پژوهشی (تحقیقاتی)
رفرنس
دارد
پایگاه
اسکوپوس
کد محصول
E10258
رشته های مرتبط با این مقاله
مهندسی فناوری اطلاعات
گرایش های مرتبط با این مقاله
مدیریت سیستم های اطلاعات
مجله
علوم اطلاعاتی - Information Sciences
دانشگاه
School of Software and Information Security - Guangxi University for Nationalities - Nanning - Guangxi - PR China
کلمات کلیدی
سیستم اطلاعات ارزشمند بر حسب فاصله، نظریه مجموعه Rough، گرانول اطلاعاتی، ساختار اطلاعاتی، وابستگی، اندازه گرفتن، عدم قطعیت، اثربخشی
doi یا شناسه دیجیتال
https://doi.org/10.1016/j.ins.2018.08.047
چکیده

abstract


An information system as a database that represents relationships between objects and attributes is an important mathematical model. An interval-valued information system is a generalized model of single-valued information systems. As important evaluation tools in the field of machine learning, measures of uncertainty can quantify the dependence and similarity between two targets. However, the existing measures of uncertainty for intervalvalued information systems have not been thoroughly researched. This paper is devoted to the study of new measures of uncertainty for an interval-valued information system. Information structures are first introduced in a given interval-valued information system. Then, the dependence between two information structures is depicted. Next, new measures of uncertainty for an interval-valued information system are investigated by using the information structures. As an application of the proposed measures, the rough entropy of a rough set is proposed by means of information granulation. Finally, a numerical experiment on the Face recognition dataset is presented to demonstrate the feasibility of the proposed measures, and a statistical effectiveness analysis is conducted. The results are helpful for understanding the essence of uncertainty in interval-valued information systems.

نتیجه گیری

Conclusions


In this paper, we have proposed four measuring tools (i.e., θ-information granulation, θ-information amount, θ-rough entropy and θ-information entropy) to evaluate the uncertainty of a given interval-valued information system by means of its information structure. As an application of information granulation, we have proposed the rough entropy of a rough set in interval-valued information systems. We have presented a numerical experiment on the Face recognition dataset and conducted a statistical effectiveness analysis from three aspects, namely, dispersion analysis, correlation analysis and variance analysis, to demonstrate the feasibility of the proposed measures. The measures proposed in this paper can be applied to data mining from interval data. In the future, we will consider additional applications of the proposed measures.


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