Hybridization of Soft Expert Set with AHP in Decision Making

Saeed, Muhammad Anwaar; Mahmood, Sahrish; Taufeeq, Hina

doi:10.5120/ijca2017915920

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…Molodstove [24] generalized fuzzy set as soft set (SSt). Through data analysis and decision-making computations, this generalization enables the handling of uncertainties in a variety of domains, including engineering, medical science, economics, social sciences, and environmental science [21,30,32]. Soft subset (SSbS) and soft superset, equivalent SSts, null and absolute SSts, as well as some set operations like union, intersection, complement, binary operations AND and OR, were defined by Maji et al [20] in 2003.…”

Section: Introductionmentioning

confidence: 99%

Soft algebraic structures embedded with soft members and soft elements: an abstract approach

Saeed,

Shafique,

Rahman

et al. 2024

J. Math. Computer Sci.

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As a new area of study in pure mathematics, the theory of soft sets is expanding by redefining fundamental ideas as algebraic structures, such as soft groups, soft rings, and soft fields. It also finds applications in other domains, regarding data analysis and decision-making. This study manipulates soft members and soft elements to explore soft structures from a traditional point of view, making it easier to comprehend soft algebraic structures. The soft inverse of a soft member and the soft identity member are generalized for any soft group, and a method to count the number of possible soft subgroups of a soft group is also provided.

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Section: Introductionmentioning

confidence: 99%

Soft algebraic structures embedded with soft members and soft elements: an abstract approach

Saeed,

Shafique,

Rahman

et al. 2024

J. Math. Computer Sci.

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“…Feng [14] investigated decision-making fuzzy soft sets aided that. [28] AHP technique can also be used in airport evaluation problem by using fuzzy soft expert set. [32] proposes using fuzzy numbers in mobile selection in cities such as Lahore.…”

Section: Introductionmentioning

confidence: 99%

Development of Hybrid Model for Donations to Deserving Donees Using Multi-Polar Interval-Valued Neutrosophic Soft Set

Saeed

Majid

2022

Punjab Univ. j. math.

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Multicriteria decision-making techniques have been used widely in intelligent decision support systems for many executive decisions. Nongovernment organizations (NGOs), Non-Profitable Organizations (NPOs), and privileged persons employ survey methods to obtain deserving people’s data for charity donations under United Nations poverty alleviation initiatives, for example, financial assistance. They collect data manually or semi-automated, then narrow down the list of deserving recipients based on specific criteria. That usually results in a list of recipients who either don’t deserve it or, if they do, aren’t the perfect fit. Furthermore, the final recommendations of NGOs and NPOs partially address the poverty disparity and position all of them are on same level, resulting in the less justified distribution of charity. Due to the simultaneous evaluation of several characteristics. This paper formulates the problem of distributing funds to deserving peoples as a multicriteria decision-making problem to address these concerns. A Multipolar Interval-Valued Neutrosophic Soft Set (mIVNS) is used to address the issue of selecting suitable candidates for financial aid and distribution of funds. To implement the proposed methodology, a sample of 5 distinct deserving attributes is considered according to their intensity of poverty gap for allocation of funds. By using distance-based similarity measures, the technique of mIVNS sets has been used to select candidates and distribute funds. This methodology supports the management of NPOs and NGOs, and privileged individuals to disburse financial aid in deserving families according to their needs better.

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“…Final results are also checked by consistency analysis. Furthermore Soft Expert Set is used to verify the results.Steps of Soft Expert set are as follows[29]:…”

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confidence: 99%

A Consistent Hybrid of Analytical Hierarchy Process (AHP) and Graph Theory Matrix Approach (GTMA) with Application to Selection of PET scan Machine Problem for Cancer Hospital

Saeed¹,

Mahmood²,

Taufeeq³

2018

IJCA

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The principle purpose of this paper is Hybridization of Analytical Hierarchy Process (AHP) with Graph Theory Matrix Approach (GTMA). In this article Hybridization of AHP is being done in the matter of basic leadership. The proposed methodology is considered for a specific Cancer hospital that was required to choose Pet Scan Machine for Cancer patients. There are such a significant number of PET scan machines accessible in market and the choice to choose a correct machine more often than not includes various criteria. In this way with a specific end goal to survive vulnerabilities, hybridization of AHP-GTMA has been made. Since AHP has been an outstanding technique for mining the decision maker psyche and GTMA approach is utilized for data mining. Both of these mining forms are hybridized so as to choose the machine with best highlights. Furthermore theoretical consistency is also presented. Finally the results are verified with Soft Expert Set and stability of hybrid method is checked by Satty's Scale.

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Hybridization of Soft Expert Set with AHP in Decision Making

Cited by 4 publications

References 15 publications

Soft algebraic structures embedded with soft members and soft elements: an abstract approach

Soft algebraic structures embedded with soft members and soft elements: an abstract approach

Development of Hybrid Model for Donations to Deserving Donees Using Multi-Polar Interval-Valued Neutrosophic Soft Set

A Consistent Hybrid of Analytical Hierarchy Process (AHP) and Graph Theory Matrix Approach (GTMA) with Application to Selection of PET scan Machine Problem for Cancer Hospital

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