Decision-making for paired comparison using the extended amended Davidson model

Altaf, Saima; Aslam, Muhammad; Liaqat, Madiha

doi:10.1080/03610926.2015.1026998

Cited by 2 publications

(1 citation statement)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…e purpose of their study was to show the importance and applications of the Bradley and Terry model in the field of paired comparisons. Altaf et al [6] used noninformative and informative priors for the analysis of the amended Davidson model. e analysis was carried out on the case study.…”

Section: Introductionmentioning

confidence: 99%

Bayesian Analysis of the Weibull Paired Comparison Model Using Numerical Approximation

Ullah

Aslam

2020

Journal of Mathematics

Self Cite

View full text Add to dashboard Cite

The method of paired comparisons (PC) is widely used to rank items using sensory evaluations. The PC models are developed to provide basis for such comparisons. In this study, the Weibull PC model is analyzed under the Bayesian paradigm using noninformative priors and different loss functions, namely, Squared Error Loss Function (SELF), Quadratic Loss Function (QLF), DeGroot Loss Function (DLF), and Precautionary Loss Function (PLF). Numerical approximation is used to illustrate the entire estimation procedure. A real dataset showing usage preferences for different cellphone brands, Huawei (HW), Samsung (SS), Oppo (OP), QMobile (QM), and Nokia (NK), is used. Quadrature method is used to evaluate the Bayes estimates, their posterior risks, preference probabilities, predictive probabilities, and posterior probabilities to establish and verify ranking order of the competing cellphone brands under study. The results show that the paired comparison model under the study using Bayesian approach involving various loss functions can offer mathematical approach to evaluate cellphone brand preferences. The ranking provided by the model is justifiable according to the usage preference for these cellphone brands. The ranking given by the model indicates that cellphone brand Samsung is preferred the most and QMobile is the least preferred. The plausibility of the model is also assessed using the Chi square test of goodness of fit.

show abstract

Section: Introductionmentioning

confidence: 99%

Bayesian Analysis of the Weibull Paired Comparison Model Using Numerical Approximation

Ullah

Aslam

2020

Journal of Mathematics

Self Cite

View full text Add to dashboard Cite

show abstract

Intuitionistic linguistic multi-attribute decision making algorithm based on integrated distance measure

Liu

Wang

et al. 2019

Economic Research-Ekonomska Istraživanja

View full text Add to dashboard Cite

This study aims to integrate the intuitionistic linguistic multi-attribute decision making (MADM) method which builds upon an integrated distance measure into supplier evaluation and selection problems. More specifically, an intuitionistic linguistic integrated distance measure based on ordered weighted averaging operator (OWA) and weighted average approach is presented and applied. The desirable characteristics and families of the developed distance operator are further explored. In addition, based on the proposed distance measure, a supplier selection problem for an automobile factory is used to test the practicality of its framework. The effectiveness and applicability of the presented framework for supplier selection are examined by carrying comparative analysis against the existing techniques of aggregation. ARTICLE HISTORY

show abstract

Decision-making for paired comparison using the extended amended Davidson model

Cited by 2 publications

References 11 publications

Bayesian Analysis of the Weibull Paired Comparison Model Using Numerical Approximation

Bayesian Analysis of the Weibull Paired Comparison Model Using Numerical Approximation

Intuitionistic linguistic multi-attribute decision making algorithm based on integrated distance measure

Contact Info

Product

Resources

About