Dominance-Based Rough Set Approach for Decision Analysis - A Tutorial

نویسنده

  • Salvatore Greco
چکیده

Scientific analysis of decision problems aims at giving the decision maker (DM) a recommendation concerning a set of objects (called also alternatives, solutions, acts, actions, cases, candidates) evaluated from the point of view of a plurality of their characteristics considered relevant for the problem at hand, and called attributes. For example, a decision can regard: 1) diagnosis of pathologies for a set of patients, being the objects of the decision, and the attributes are symptoms and results of medical examinations, 2) assignment to classes of risk for a set of enterprises, being the objects of the decision, and the attributes are ratio indices and other economical indicators such as the market structure, the technology used by the enterprises, the quality of the management and so on, 3) selection of a car to be bought from among a given set of cars, being the objects of the decision, and the attributes are maximum speed, acceleration, price, fuel consumption and so on, 4) ordering of students applying for a scholarship, being the objects of the decision, and the attributes are scores in different disciplines.

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A New Approach for Knowledge Based Systems Reduction using Rough Sets Theory (RESEARCH NOTE)

Problem of knowledge analysis for decision support system is the most difficult task of information systems. This paper presents a new approach based on notions of mathematical theory of Rough Sets to solve this problem. Using these concepts a systematic approach has been developed to reduce the size of decision database and extract reduced rules set from vague and uncertain data. The method ha...

متن کامل

Dominance-based Rough Set Analysis for Uncertain Data Tables

In this paper, we propose a dominance-based rough set approach for the decision analysis of a preference-ordered uncertain data table, which is comprised of a finite set of objects described by a finite set of criteria. The domains of the criteria may have ordinal properties that express preference scales. In the proposed approach, we first compute the degree of dominance between any two object...

متن کامل

Dominance-based Rough Set Approach in Set- valued Ordered Information Systems

Set-valued information systems are generalized single-valued information systems. In this paper, by introducing a type of dominance relation to set-valued ordered information systems, we establish dominance-based rough set approach and propose a ranking approach for all objects based on the dominance classes. Furthermore, we discuss dominance rules, propose attribute reductions of consistent se...

متن کامل

Limited Dominance-based Rough Set Model and Knowledge Reductions in Incomplete Decision System

In this paper, we introduce a new rough set approach, which is called the limited dominance-based rough set model into the incomplete decision system. The limited dominance relation is different from the traditional dominance relation in the incomplete environment because we are on the assumption that the unknown value can only be compared with the maximal or minimal value in the domain of the ...

متن کامل

An Algorithm for Induction of Decision Rules Consistent with the Dominance Principle

Induction of decision rules within the dominance-based rough set approach to the multiple-criteria sorting decision problem is discussed in this paper. We introduce an algorithm called DOMLEM that induces a minimal set of generalized decision rules consistent with the dominance principle. An extension of this algorithm for a variable consistency model of dominance based rough set approach is al...

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

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008