A fuzzy approach using asymmetrical triangular distribution in a two-person zero-sum game for a multi-criteria decision-making problem

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Sarin Abraham ◽  
M. Punniyamoorthy
Keyword(s):  
Decision Making ◽  
Triangular Distribution ◽  
Multi Criteria Decision Making ◽  
Fuzzy Approach ◽  
Decision Making Problem ◽  
Zero Sum

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

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.

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

2006 ◽  
Vol 05 (02) ◽  
pp. 263-276 ◽  
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.

Modeling Knowledge Employee’s Turnover Based on P-SVM

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.

A Fuzzy Approach for Ranking of Student's Expectation From a Technical Institute

2021 ◽  
pp. 1628-1640
Author(s):  
Ajit Kumar Singh ◽  
A. M. Rawani
Keyword(s):  
Decision Making ◽  
Technical Education ◽  
Education Sector ◽  
Educational Services ◽  
Multi Criteria Decision Making ◽  
Fuzzy Approach ◽  
Technical Institute ◽  
Student Expectations

Due to high competition and less employability in the technical education sector, quality in technical education has turned out to be most extreme imperative criteria to deliver better educational services. For this reason, it is required to screen the expectation of the customer of the education sector for fulfilling their needs. With aim of this, this article first illustrates the identification of the customer of the education sector, then their expectations from an institute and finally a detailed ranking of each expectation which has been done. For the ranking of student's expectations, various authors have used a number of multi-criteria decision-making methods, but the vagueness of the result was not being handled in their research. Therefore, in this study, a fuzzy approach has been used to rank the various expectations of customers. The result of the study indicates that among all student expectations, the job-oriented expectation is the most important expectation and further, an ergonomics-based expectation and a sports-based expectation are the least important expectations of the students.

Evaluation of Capability of Weapon System of Systems Based on Multi-Scenario

2014 ◽  
Vol 926-930 ◽  
pp. 3806-3811 ◽  
Author(s):  
Shu Teng Zhang ◽  
Ya Jie Dou ◽  
Qing Song Zhao
Keyword(s):  
Decision Making ◽  
System Of Systems ◽  
Multi Criteria Decision Making ◽  
Weapon System ◽  
Weapon Systems ◽  
Decision Making Problem ◽  
The Future ◽  
Future Situation ◽  
Key Variables ◽  
Multiple Scenarios

The capability planning is a fundamental task when designing a Weapon System of Systems (WSOS). Uncertainties exist when building WSOS. It is difficult to select the most appropriate alternatives under the background of system operations. The programming of capability of WSOS is a multi-criteria decision-making problem. To resolve this problem, a scenario-based multi-criteria decision-making methodology is proposed. Scenario describes the future situation may occur, and also presents the uncertainty of reality. In this paper, scenario was modeled by the key variables in which experts and stakeholders are interested. TOPSIS was also improved based on multiple scenarios. Finally, the method is validated by an example of armored weapon systems.

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