Topological approach to generate new rough set models

نویسندگان

چکیده

Abstract In this paper, we introduce a topological method to produce new rough set models. This is based on the idea of “somewhat open sets” which one celebrated generalizations sets. We first generate some topologies from different types $$N_\rho $$ N ρ -neighborhoods. Then, define approximations and accuracy measures with respect somewhat closed study their main properties prove that roughness preserve monotonic property. One unique these possibility comparing between them. also compare our approach previous ones, show it more accurate than those induced open, $$\alpha α -open, semi-open Moreover, examine effectiveness followed in problem Dengue fever. Finally, discuss strengths limitations propose future work.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

a new approach to credibility premium for zero-inflated poisson models for panel data

هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...

15 صفحه اول

Rough Set Approach to KDD

This tutorial is a survey on rough set theory and some of its applications in Knowledge Discovery from Databases (KDD). It will also cover the practice guide to analysis of different real life problems using rough set methods as well as the presentation of Rough Set Exploration System (RSES) what can be treated as a preliminary material for the main conference and associated workshops.

متن کامل

Bayesian approach to rough set

This paper proposes an approach to training rough set models using Bayesian framework trained using Markov Chain Monte Carlo (MCMC) method. The prior probabilities are constructed from the prior knowledge that good rough set models have fewer rules. Markov Chain Monte Carlo sampling is conducted through sampling in the rough set granule space and Metropolis algorithm is used as an acceptance cr...

متن کامل

A New Qualitative Rough-Set Approach to Modeling Belief Functions

The paper presents a novel view of the Dempster-Shafer belief function as a measure of diversity in relational data bases. The Dempster rule of evidence combination corresponds to the join operator of the relational database theory. This rough-set based interpretation is qualitative in nature and can represent a number of belief function operators.

متن کامل

A New Modified Approach to Rough Set Feature Selection

Extracting useful information from a huge data collection is an important and challenging issue. Feature selection (FS) refers to the problem of selecting minimal relevant features which produce the most predictive outcome and retaining the original meaning of the features after reduction. One of the successful techniques for feature selection from datasets is the rough set theory (RST). This p...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Complex & Intelligent Systems

سال: 2022

ISSN: ['2198-6053', '2199-4536']

DOI: https://doi.org/10.1007/s40747-022-00704-x