Uncertainty Analysis in Group Decisions through Interval Ordinal Priority Approach

Mahmoudi, Amin; Javed, Saad Ahmed

doi:10.1007/s10726-023-09825-1

Cited by 9 publications

(5 citation statements)

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“…In 2022, Javed et al (2022) overcame these shortcomings by proposing the Dynamic GRA model. Later, Ouali (2022) confirmed the model's validity while studying the supplier selection problem, whereas Mahmoudi and Javed (2023) used it to validate another MCDM model. The key components of the model are discussed below.…”

Section: Dynamic Grey Relational Analysismentioning

confidence: 96%

Evaluation of Barriers to E-commerce in Malawi using Grey Relational Analysis

Matambo

2023

IJGS

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E-commerce (electronic commerce) provides a convenient way of buying or selling products online and is a popular choice in certain segments of societies worldwide. The significance of e-commerce has been observed during the COVID-19 crisis, where customer preferences shifted from physical stores to online stores due to lockdowns and social distancing. E-commerce has been observed to be more effective in developed countries than in developing countries such as Malawi due to the difference in the resources required for the sustainability and growth of e-commerce. The current study evaluated the barriers to e-commerce in Malawi and ranked them using the Dynamic Grey Relational Analysis model. Using the primary data collected from the customers in Malawi, the study found that lack of trust in online systems and limited access to cell phones and computers and online payment methods are the most significant barriers. The study found that both human and technical (infrastructure) factors are hindering the growth of e-commerce in Malawi.

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Section: Dynamic Grey Relational Analysismentioning

confidence: 96%

Evaluation of Barriers to E-commerce in Malawi using Grey Relational Analysis

Matambo

2023

IJGS

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“…The reliability of decision subjects determines the reliability of decision measures and vice versa. An important factor associated with decision subjects is heterogeneity, which implies the variability between them because of their unique experience, graduation capacity, and domain knowledge (Mahmoudi & Javed, 2023). Superficial differences (e.g., academic titles) should be cautiously included to weigh experts.…”

Section: Definition 3: Criteria (Attributes)mentioning

confidence: 99%

“…The method, as we know today, was first published by Ataei et al (2020). Different variants of the OPA have been proposed since then, e.g., the Fuzzy OPA , the Grey OPA (Mahmoudi et al, 2021), the Rough OPA (Du et al, 2023), and the Interval OPA (Mahmoudi et al, 2023), among others. A statistical approach to solve MADM problems with confidence using the OPA has also been developed .…”

Section: The Modelmentioning

confidence: 99%

“…However, this break is not abrupt but continuous as it holds within it some successes of the classical "ordinal" MADM theory. For instance, the Rank Reciprocal weighting (Stillwell et al, 1981) and the Rank Order Centroid weighting methods (Barron & Barrett, 1996) are the special cases of the OPA for estimating the weights of attributes and alternatives, respectively (Mahmoudi & Javed, 2023). Thus, in the OPA, two competing models, traditionally used for estimating the weights of attributes, complement each other.…”

Section: Introductionmentioning

confidence: 99%

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What is the Ordinal Priority Approach?

Javed¹,

2023

MSBD

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Humans, in their most important role as decision-makers, make choices every day. Simple choices don't even require a calculator, but more complicated ones require some calculation. Complicated choices, such as the ones where one has to choose one (or multiple) alternatives from a list of alternatives, whereas each alternative may be better than the other on different conflicting attributes, are not easy to make. Such problems are usually referred to as multiple attribute decision-making (MADM), and one of the easiest and most effective ways to solve such problems is the Ordinal Priority Approach (OPA). In this article, readers will learn: (1) what is the OPA (and some discussion on its background), (2) what distinguishes it from other MADM methods, (3) its scale, and (4) how to apply it. Readers, including those with the most elementary knowledge of mathematics and operations research, would find this article particularly useful as every effort has been made to make content easy to comprehend.

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“…Recall that the results of Example 1 reveals a diminishing marginal effect in weight assignments across different rankings, leading to disparities between measurement scales. To mitigate this influence, dimensionless percentage standard deviation (PSD) are proposed to assess the dispersion of weights derived from expert preferences in GOPA (Mahmoudi and Javed, 2023).…”

Section: Percentage Standard Deviationmentioning

confidence: 99%