Grey Weighted Sum Model for Evaluating Business Environment in West Africa

Esangbedo, Moses Olabhele; Che, Ada

doi:10.1155/2016/3824350

Cited by 28 publications

(16 citation statements)

References 65 publications

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“…Weighted Sum Model is a useful tool and easy to understand. This technique can be described as a weighted linear combination or scoring method [17]. It is also a representation of the DM's preferences in a linear additive function [17].…”

Section: Discussionmentioning

confidence: 99%

Two-Envelope System for Consultant Selection using Weighted Sum Model

Omar¹,

Trigunarsyah²,

Wong³

2018

IJET

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Consultant Selection is one of a classical problem in Multi Criteria Decision Making (MCDM). Most of the literature in Operation Research only concentrates on model building rather than developing an inclusive analytic tool that extends to a Decision Support System (DSS). In this paper, we deploy a case study approach to understand the user requirement for DSS development. We observe the process of consultant selection and the decision making at one of the technical department which involve in the infrastructure project in Malaysia. A two-envelope system and a simple Weighted Sum Model are currently in use. We demonstrate the abstraction and application based on two case projects. Sensitivity analysis is also performed and the result shows that the decision changed if it is solely based on fees or with minimal quality criteria. Finally, we gather the findings from the organizational flows, user modelling and decision making process in order to benchmark with our future works. This will helps us to better understand and develop an improved decision support model or tools for consultant selection problem.

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Section: Discussionmentioning

confidence: 99%

Two-Envelope System for Consultant Selection using Weighted Sum Model

Omar¹,

Trigunarsyah²,

Wong³

2018

IJET

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“…The deal with a first-rate problem now not blanketed through DBP, specifically, ranking countries throughout years by considering inside-country uncertainty and investor possibilities as criterion weights. Second, we enlarge the traditional weighted sum model [18]. of weights containing pure gas The sum equals A common way to use calculate the entire emissions by means of making a grey approximation to resolve the spectrally included RTE.…”

Section: Weighted Sum Methodsmentioning

confidence: 99%

Indian Technical Institutions Comparative Evaluation of Distance Based Using WSM Method

2021

Data Analytics and Artificial Intelligence

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Indian Institutes of Technology (IITs) are Located all over India Publicly owned by Central Govt Technology companies. Indian technology companies are used Performance Appraisal Here to solve the problem of WSM. Weighted Sum works by multiplying the designated field values Indian Technical Institution or appraising the alternatives Analysis in Faculty strength (FS), Student intake (SI), Number of Ph.D awarded (Ph.D), Number of patents applied for (Patent), Campus area (CA) Evaluation parameters in Computational time, Simplicity, Mathematical calculations involved, Flexibility. Student intake (SI) is got the first rank whereas is the Faculty strength (FS) is having the Lowest rank. In this paper Indian Technical Institution of WSM Student intake (SI) is got the first rank whereas is the Faculty strength (FS) is having the Lowest rank

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“…There are several applications of GST. Esangbedo and Che [67,68] evaluated the business environment in Africa, and getting electricity was one of the evaluation criteria. They proposed the grey rank order centroid weights for aggregating the weights of criteria.…”

Section: Grey System Theorymentioning

confidence: 99%

Grey SWARA-FUCOM Weighting Method for Contractor Selection MCDM Problem: A Case Study of Floating Solar Panel Energy System Installation

et al. 2019

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Selection of the most appropriate contractor for the installation of solar panels is essential to maximizing the benefit of this renewable, sustainable energy source. Solar energy is one of the 100% renewable energy sources, but implementation may not be very simple and cost-effective. A key phase in the implementation of renewable energy is the evaluation of contractors for the installation of solar panels, which is addressed as a multi-criteria decision-making (MCDM) problem. A new hybrid method is proposed that combines the stepwise weight analysis ratio assessment (SWARA) and full consistent method (FUCOM) weights that are represented as grey numbers used with traditional grey relational analysis (GRA) and evaluation based on distance from average solution (EDAS) methods. The ranking of contractors by both methods is the same, which confirmed the results presented in this research. The use of the grey SWARA-FUCOM weighting method combined with the GRA and EDAS methods increased the decision-makers’ (DMs) confidence in awarding the installation of the solar panel energy system to the top-ranked contractor.

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Grey Weighted Sum Model for Evaluating Business Environment in West Africa

Cited by 28 publications

References 65 publications

Two-Envelope System for Consultant Selection using Weighted Sum Model

Two-Envelope System for Consultant Selection using Weighted Sum Model

Indian Technical Institutions Comparative Evaluation of Distance Based Using WSM Method

Grey SWARA-FUCOM Weighting Method for Contractor Selection MCDM Problem: A Case Study of Floating Solar Panel Energy System Installation

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