AHP in nonlinear scaling: from two-envelope problem to modeling by predictors

Lipovetsky, Stan

doi:10.1590/0103-6513.20210007

Cited by 4 publications

(2 citation statements)

References 25 publications

(35 reference statements)

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“…The implementation of the multi-criteria decision technique Analytic Hierarchy Process [40] was carried out since it adjusts to a great extent to the requirements of the problem posed (establish a quality value for a scientific document). The method looks for weighting and prioritizing quality metrics, considering a quantitative and qualitative approach, which allows transforming multi-criteria decision problems into simple hierarchical structures to evaluate the different alternatives of criteria.…”

Section: Applying the Ahp Methods To Prioritize Quality Indicators In...mentioning

confidence: 99%

Toward a Model to Evaluate Machine-Processing Quality in Scientific Documentation and Its Impact on Information Retrieval

Suárez López,

Álvarez-Rodríguez,

Molina-Cardenas

2023

Applied Sciences

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The lack of quality in scientific documents affects how documents can be retrieved depending on a user query. Existing search tools for scientific documentation usually retrieve a vast number of documents, of which only a small fraction proves relevant to the user’s query. However, these documents do not always appear at the top of the retrieval process output. This is mainly due to the substantial volume of continuously generated information, which complicates the search and access not properly considering all metadata and content. Regarding document content, the way in which the author structures it and the way the user formulates the query can lead to linguistic differences, potentially resulting in issues of ambiguity between the vocabulary employed by authors and users. In this context, our research aims to address the challenge of evaluating the machine-processing quality of scientific documentation and measure its influence on the processes of indexing and information retrieval. To achieve this objective, we propose a set of indicators and metrics for the construction of the evaluation model. This set of quality indicators have been grouped into three main areas based on the principles of Open Science: accessibility, content, and reproducibility. In this sense, quality is defined as the value that determines whether a document meets the requirements to be retrieved successfully. To prioritize the different indicators, a hierarchical analysis process (AHP) has been carried out with the participation of three referees, obtaining as a result a set of nine weighted indicators. Furthermore, a method to implement the quality model has been designed to support the automatic evaluation of quality and perform the indexing and retrieval process. The impact of quality in the retrieval process has been validated through a case study comprising 120 scientific documents from the field of the computer science discipline and 25 queries, obtaining as a result 21% high, 39% low, and 40% moderate quality.

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Section: Applying the Ahp Methods To Prioritize Quality Indicators In...mentioning

confidence: 99%

Toward a Model to Evaluate Machine-Processing Quality in Scientific Documentation and Its Impact on Information Retrieval

Suárez López,

Álvarez-Rodríguez,

Molina-Cardenas

2023

Applied Sciences

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“…ISAHP at isahp.org). Results of multiple new case studies of AHP usage in supply chain management (Oliveira Ramos et al, 2020), healthcare/insurance (Wollmann et al, 2014;Ferrari Neto et al, 2020), and other domains, as well as in theoretical studies (Lipovetsky, 2021) are being published.…”

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confidence: 99%

An update on combinatorial method for aggregation of expert judgments in AHP

Kadenko

Tsyganok

Szádoczki

et al. 2021

Prod.

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This article represents an extended version of the respective paper (Kadenko & Tsyganok, 2020), presented at the International Symposium on the Analytic Hierarchy Process (ISAHP-2020). The key additions to the original conference paper include: elaborated description of several versions of combinatorial method, motivational examples, and results of the authors' most recent research on the subject.The best way to evaluate alternative decision options according to intangible criteria, that cannot be numerically described, is to compare them among themselves. This suggestion, made and empirically confirmed by Tom Saaty and his followers (Saaty, 1980(Saaty, , 1996, provided the basis for a whole family of AHP/ANP expert evaluation methods. These methods are widely used by decision-makers around the world. AHP/ANP application domains cover almost all spheres of human activity (as we can see from proceedings of multiple editions of

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Logistic and multinomial-logit models: A brief review on their modifications and extensions

Lipovetsky¹

2021

MAS

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The work presents various techniques of the logistic and multinomial-logit modeling with their modifications. These methods are useful for regression modeling with a binary or categorical outcome, structuring in regression and clustering, singular value decomposition and principal component analysis with positive loadings, and numerous other applications. Particularly, these models are employed in the discrete choice modeling and the best-worst scaling known in applied psychology and socio-economics studies.

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AHP in nonlinear scaling: from two-envelope problem to modeling by predictors

Cited by 4 publications

References 25 publications

Toward a Model to Evaluate Machine-Processing Quality in Scientific Documentation and Its Impact on Information Retrieval

Toward a Model to Evaluate Machine-Processing Quality in Scientific Documentation and Its Impact on Information Retrieval

An update on combinatorial method for aggregation of expert judgments in AHP

Logistic and multinomial-logit models: A brief review on their modifications and extensions

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