A Extended TOPSIS Method for the Stochastic Multi-Criteria Decision Making Problem through Interval Estimation

The aim of this paper is to introduce the notion of linguistic interval-valued q-rung Orthopair fuzzy set (LIVq-ROFS) as a generalization of linguistic q-rung orthopair fuzzy set. We develop some basic operations, score and accuracy functions to compare the LIVq-ROF values (LIVq-ROFVs). Based on the proposed operations a series of aggregation techniques to aggregate the LIVq-ROFVs and some of their desirable properties are discussed in detail. Moreover, a TOPSIS method is developed to solve a multi-criteria decision making (MCDM) problem under LIVq-ROFS setting. Furthermore, a MCDM approach is proposed based on the developed operators and TOPSIS method, then a practical decision making example is given in order to explain the proposed method. To illustrate to effectiveness and application of the proposed method a comparative study is also conducted.

Download Full-text

Applying the Multi-Criteria Decision Making Model for Ranking Commercial Banks: The Case of Vietnam

Journal of Economics and Development ◽

10.33301/2019.jed.spi.09 ◽

2019 ◽

pp. 125-133

Author(s):

Duong Truong Thi Thuy ◽

Anh Pham Thi Hoang

Keyword(s):

Decision Making ◽

Commercial Banks ◽

Decision Model ◽

Business Models ◽

Multi Criteria Decision Making ◽

Ideal Solution ◽

Topsis Method ◽

Decision Making Model

Banking has always played an important role in the economy because of its effects on individuals as well as on the economy. In the process of renovation and modernization of the country, the system of commercial banks has changed dramatically. Business models and services have become more diversified. Therefore, the performance of commercial banks is always attracting the attention of managers, supervisors, banks and customers. Bank ranking can be viewed as a multi-criteria decision model. This article uses the technique for order of preference by similarity to ideal solution (TOPSIS) method to rank some commercial banks in Vietnam.

Download Full-text

SOLUTION OF A MULTI-CRITERIA DECISION- MAKING PROBLEM ON BASE OF PROMETHEE METHOD

INTERNATIONAL ACADEMY JOURNAL Web of Scholar ◽

10.31435/rsglobal_wos/30092020/7182 ◽

2020 ◽

Author(s):

Salimov Vagif Hasan Oglu

Keyword(s):

Decision Making ◽

Pairwise Comparison ◽

Preference Function ◽

Pairwise Comparisons ◽

Multi Criteria Decision Making ◽

Job Selection ◽

Decision Making Problem ◽

Practice Problem ◽

Promethee Method ◽

Large Groups

Multi criteria decision making problem was considered. Review of existing multi criteria decision making methods was presented. Methods of solving this problem can be divided into two large groups: methods using the aggregation of all alternatives according to all criteria and the solution of the obtained one-criterion problem, the second group is associated with the procedure of pairwise comparisons. Promethee method have been considered with details. This method is based on the pairwise comparison of alternatives and specific aggregation procedures. The preference function are considered for minimization and maximization cases. As practice problem the job selection is considered. Three important criteria are used: salary, time, risk. The results of all computations are presented.

Download Full-text

THE INTEGRATION OF ANALYTICAL HIERARCHY PROCESS AND DATA ENVELOPMENT ANALYSIS IN A MULTI-CRITERIA DECISION-MAKING PROBLEM

International Journal of Information Technology & Decision Making ◽

10.1142/s0219622006001940 ◽

2006 ◽

Vol 05 (02) ◽

pp. 263-276 ◽

Cited By ~ 36

Author(s):

NORITA AHMAD ◽

DANIEL BERG ◽

GENE R. SIMONS

Keyword(s):

Decision Making ◽

Data Envelopment Analysis ◽

Analytical Hierarchy Process ◽

Data Envelopment ◽

Multi Criteria Decision Making ◽

Analysis Model ◽

Decision Tool ◽

Manufacturing Enterprises ◽

Decision Making Problem ◽

Hierarchy Process

This research focuses on developing a model that can be used to assess the performance of Small to Medium-Sized Manufacturing Enterprises (SMEs). The model will result from the integration of a decision tool called the Analytical Hierarchy Process (AHP) and a data analysis model called Data Envelopment Analysis (DEA). This research demonstrates that by eliminating flaws and taking advantage of each methodology's specific characteristics in identifying and solving problems, the new integrated AHP/DEA model appears to be a logical and sensible solution in multi-criteria decision-making problem.

Download Full-text

Modeling Knowledge Employee’s Turnover Based on P-SVM

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.121-122.825 ◽

2010 ◽

Vol 121-122 ◽

pp. 825-831

Author(s):

Yong Zhao ◽

Ye Zheng Liu

Keyword(s):

Genetic Algorithm ◽

Decision Making ◽

Model Development ◽

Forecast Model ◽

Support Vector ◽

Multi Criteria Decision Making ◽

Parameters Selection ◽

Vector Machines ◽

Decision Making Problem ◽

Simulation Results

Knowledge employee’s turnover forecast is a multi-criteria decision-making problem involving various factors. In order to forecast accurately turnover of knowledge employees, the potential support vector machines(P-SVM) is introduced to develop a turnover forecast model. In the model development, a chaos algorithm and a genetic algorithm (GA) are employed to optimize P-SVM parameters selection. The simulation results show that the model based on potential support vector machine with chaos not only has much stronger generalization ability but also has the ability of feature selection.

Download Full-text