Ranking Function Application for Optimal Solution of Fractional programming problem

Jalal, Rasha

doi:10.29350/jops.2020.25.1.1048

Cited by 4 publications

(2 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recently, the theory of fuzzy sets (FS) has been established and is the most suitable to date theory to deal with uncertainties. Many important G TH applications have been extended by embedding the FS ideas [13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Modified Ranking Function to Compute Fuzzy Matrix Games

Mitlif

2022

IHJPAS

View full text Add to dashboard Cite

Game theory problems (GTP) frequently occur in Economy, Business Studies, Sociology, Political Science, Military Activities, and so on are some of the subjects covered. To tackle the uncertainty in Games, the analysis of games in which the payoffs are represented by fuzzy numbers (FN) will benefit from fuzzy set theory (FST). The purpose of this paper is to develop an efficient technique for solving constraint matrix games (MG) with payoff trapezoidal fuzzy numbers (TFN). The description of the new ranking method is introduced for a constrained matrix with TFN and values. Stock market forecasting has been one of the most important research areas for decades. Stock market values are volatile, non-linear, complicated and chaotic. Based on a ranking function (RF), we used a new algorithm to solve the fuzzy game problem (FGP) employing TFN and also to try to get a desirable gain. Centered on the latest proposed ranking algorithm, the Fuzzy decision method is designed to analyze possible stock opportunists. The paper considers a zero-sum game for two persons in which TFN are fuzzy payoffs. A ranking method (RM) is proposed to convert TFN into crisp numbers (CN) and it is used to solve FGP. The fuzzy game (FG) issue with concept strategies pure minimax maximin is presented. This problem is converted into the crisp problem by a new RF and then solved using the arithmetic (oddment) method. With the help of numerical examples, the suggested technique is explained. This paper finalizes the conclusion and includes an outlook for future study in this direction

show abstract

Section: Introductionmentioning

confidence: 99%

Modified Ranking Function to Compute Fuzzy Matrix Games

Mitlif

2022

IHJPAS

View full text Add to dashboard Cite

show abstract

“…Narayanamoorthy and Maheswari [10] obtained a modified classification method for assessing the critical path (CP) of the fuzzy project network (FPN), in which the length of each process time is a fuzzy octagonal number (FON), and an updated formula is implemented on the fuzzy numbers in this process. Researches [11][12][13][14][15][16][17][18][19] have studied the different applications of the ranking function.…”

Section: Introductionmentioning

confidence: 99%

Finding the Critical Path Method for Fuzzy Network with Development Ranking Function

Mitlif

Sadiq

2021

J. Al-Qadisiyah Comp. Sci. Math.

View full text Add to dashboard Cite

We propose a development ranking function (RF) to solve project - scheduling problems (PSP) in a foggy environment. The development command works on fuzzy numbers (FN) and this is done by converting the fuzzy parameters to an explicit value and applying the critical path method (CPM) to obtain the solution described in the proposed algorithm. A clear definition of the time limit will aid in the successful implementation of CPM, there is often confusion regarding the length of the process leading to the development of a critical path method (CPM) system. The example and approach strongly suggest that the proposed method is efficient and gives us the critical path (CP) and identifies sensitive activities as well. The results show that the use of the development ranking function (DRF) is better, more efficient, and accurate than the other ranking function (RF) by calculating the hours of the project completion.

show abstract

Solution of Modified Equal Width Equation Using Quartic Trigonometric-Spline Method

Salih

Tawfiq

2020

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

Using a quartic trigonometric B-spline (QTB-S) scheme, the numerical solution is obtained for modified equal width equation (MEW eq.). The approach based on finite difference scheme with the help of Crank-Nicolson formulation. The finite difference scheme is used for time integration and QTB-S function for space integration. Performance and accuracy of the scheme is validated through testing two problems by using conserved laws and L∞ and L2 error norms.

show abstract

Ranking Function Application for Optimal Solution of Fractional programming problem

Cited by 4 publications

References 5 publications

Modified Ranking Function to Compute Fuzzy Matrix Games

Modified Ranking Function to Compute Fuzzy Matrix Games

Finding the Critical Path Method for Fuzzy Network with Development Ranking Function

Solution of Modified Equal Width Equation Using Quartic Trigonometric-Spline Method

Contact Info

Product

Resources

About