Search the World's Largest Database of Information Science & Technology Terms & Definitions
InfInfoScipedia LogoScipedia
A Free Service of IGI Global Publishing House
Below please find a list of definitions for the term that
you selected from multiple scholarly research resources.

What is Rough Set Theory

Handbook of Research on Applied AI for International Business and Marketing Applications
Permits the classification and recognition of objects.
Published in Chapter:
Artificial Intelligence and Supply Chain Management Application, Development, and Forecast
Michael Torres-Franco (Universidad EAN, Colombia)
DOI: 10.4018/978-1-7998-5077-9.ch012
Abstract
The supply chain has changed over the years, and with technological innovations, many tools have been developed today that seek the optimization of time and costs in this process; unfortunately, there is still a gap between companies with the capacity to implement these developments and small and medium-sized companies. This chapter seeks to show how artificial intelligence has emerged with a portfolio of solutions applicable to the supply chain management, some of which are still under development but are aimed at simplifying and automating these processes. The chapter will define these concepts to then show the different applications that artificial intelligence has in the management of the supply chain to conclude and pose the future challenges that the supply chain will face and that can be solved with the use of technologies innovative and disruptive.
Full Text Chapter Download: US $37.50 Add to Cart
More Results
Granular Computing
Rough set theory was introduced by Pawlak in 1982. The central idea of rough sets is that some objects distinguishable while others are indiscernible from each other.
Full Text Chapter Download: US $37.50 Add to Cart
Uncertainty and Vagueness Concepts in Decision Making
Rough set theory was introduced by Pawlak in 1982. The central idea of rough sets is that some objects are distinguishable while others are indiscernible from each other.
Full Text Chapter Download: US $37.50 Add to Cart
Rough Set Based Aggregation for Effective Evaluation of Web Search Systems
An approach to deal vagueness in data, which expresses vagueness by employing a boundary region of a set. A non-empty boundary region means that the set is rough. Otherwise, the set is crisp.
Full Text Chapter Download: US $37.50 Add to Cart
Rough-Set-Based Decision Model for Incomplete Information Systems
It is first described by Zdzislaw I. Pawlak in early 1980’s. Every object of the universe of discourse some information (data, knowledge) is associated with lower and upper approximation.
Full Text Chapter Download: US $37.50 Add to Cart
Rough-Set-Based Decision Model for Incomplete Information Systems
It is first described by Zdzislaw I. Pawlak in early 1980’s. Every object of the universe of discourse some information (data, knowledge) is associated with lower and upper approximation.
Full Text Chapter Download: US $37.50 Add to Cart
Quality Control Using Agent Based Framework
A Rough Set (RS) based rule induction approach to select significant features and derive decision rules is used at this stage. Basically, features characterize each object in the database, and the approach discovers the dependencies between features and objects.
Full Text Chapter Download: US $37.50 Add to Cart
eContent Pro Discount Banner
InfoSci OnDemandECP Editorial ServicesAGOSR