FAHPSort: A Fuzzy Extension of the AHPSort Method

Krejčí, Jana; Ishizaka, Alessio

doi:10.1142/s0219622018400011

Cited by 36 publications

(13 citation statements)

References 48 publications

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“…It is an extension of AHP [55] for sorting problems. It was proposed in 2012 by Ishizaka et al [65] and has since been applied to several case studies [66][67][68][69]. AHPSort has the advantage of requiring far less pair-wise comparisons than the original AHP.…”

Section: Measurement Of Indicatorsmentioning

confidence: 99%

Closing the gender gap at academic conferences: A tool for monitoring and assessing academic events

et al. 2020

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The importance of participation in academic conferences is well known for members of the scientific community. It is not only for the feedback and the improvement of the work, it is also about career development, building networks and increasing visibility. Nevertheless, women continue to be under-represented in these academic events and even more so in the most visible positions such as speaking roles. This paper presents the development of a tool based on performance indicators, which will allow monitoring and evaluating gender roles and inequalities in academic conferences in order to tackle the underrepresentation of women. The study identifies relevant perspectives (participation, organizational structure and attitudes) and designs specific lists of performance indicators for each of them. The tool is based on a combination of two multicriteria techniques, Analytic Hierarchy Process and Analytic Hierarchy Process Sort, and a qualitative analysis based on in-depth interviews and information gathered from a focus group. The use of the AHP multi-criteria decision technique has allowed us to weight the indicators according to the opinion of several experts, and with them to be able to generate from these weightings composite indicators for each of the three dimensions. The most relevant indicators were for the participation dimension. Additionally, the tool developed has been applied to an academic conference which has been monitored in real time. The results are shown as a traffic light visualization approach, where red means bad performance, yellow average performance and green good performance, helping us to present the results for each indicator. Finally, proposals for improvement actions addressed to the red indicators are explained. The work carried out highlights the need to broaden the study of gender equality in academic conferences, not only regarding the participation but also the performance of different roles and functions.

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Section: Measurement Of Indicatorsmentioning

confidence: 99%

Closing the gender gap at academic conferences: A tool for monitoring and assessing academic events

et al. 2020

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“…Various MCDM methods have been proposed to address sorting problems (AHP-Sort, VIKOR-Sort, DEA-Sort, etc.) (Ishizaka et al 2012;Ishizaka et al 2018;Krejčí and Ishizaka, 2018;Demir et al 2018;Ishizaka and López, 2019;Xu et al 2019;Labella et al 2021;Qin et al 2021). Apart from the above-mentioned MCDM sorting methods, TOPSIS-Sort is initially proposed by Sabokbar et al (2016).…”

Section: Methodsmentioning

confidence: 99%

A Quantitative Occupational Risk Assessment Methodology Based on TOPSIS-Sort with its Application in Aluminum Extrusion Industry

Gül

2021

International Journal of Pure and Applied Sciences

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The metal products industry, including the aluminum extrusion industry, is one of the sectors with high risk in terms of occupational health and safety (OHS). Considering this fact and the increasing trend of occupational accidents in the sector, the need to enhance occupational safety becomes clear. Therefore, this study proposes a quantitative occupational risk assessment by a sorting-based technique for order performance by similarity to ideal solution (TOPSIS-Sort) methodology to manage risks in the aluminum extrusion industry. A sorting-based methodology is proposed since the necessity of making a risk classification according to the obtained risk value, which is an important process in risk assessment. The methodology has been demonstrated by evaluating 28 potential hazards under three risk parameters (probability, severity and frequency). The assessed hazards are divided into five risk clusters (Very high risk, High risk, Substantial risk, Possible risk, and Risk) and control measures that will initiate the reduction of risks have been determined. Results of the study show that while one hazard has been placed in the Very high risk cluster, 3 in the High risk cluster, 23 in the Substantial risk cluster and one in the Possible risk cluster.

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“…For instance, an alternative could belong to a given class, although it has also some similarities with the alternatives of the subsequent class. To handle this vagueness, the Fuzzy-AHPSort ("FAHPSort") [30] and Analytic Hierarchy Processfuzzy Sorting use fuzzy theory to quantify the intensity of preference in this process [31].…”

Section: Literature Review: Ahpsort and Its Extensionsmentioning

confidence: 99%

Group Analytic Hierarchy Process Sorting II Method: An Application to Evaluate the Economic Value of a Wine Region Landscape

Assumma

Bottero

Ishizaka

et al. 2021

Environ Model Assess

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In the ongoing context of climate change, there is an increasing need to support decision-making processes in the domain of landscape planning and management. Suitable evaluation techniques are needed to take into account the interests of actors and stakeholders in shared policy decisions. An important methodological contribution to the field is given by the Multicriteria Decision Analysis (MCDA), due to its ability to combine multiple aspects of a decision problem with the values and opinions expressed by different Decision Makers. The present paper develops the “Group Analytic Hierarchy Process Sorting II method” (GAHPSort II), which aims to sort a group of municipalities included in the UNESCO site “Vineyard Landscape of Piedmont: Langhe-Roero, and Monferrato” (Italy) according to the economic attractiveness of the landscape. Extending the previous versions AHPSort I, AHPSort II and GAHPSort, the GAHPSort II optimizes multi-stakeholder evaluations on large databases by reducing the number of comparisons. Moreover, the GAHPSort II method is proposed as a novel spatial decision support system because it combines a set of economic indicators for landscape and GIS methods for aiding the Decision Makers to better understand the case study and to support the definition and localization of policies and strategies of landscape planning and management.

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FAHPSort: A Fuzzy Extension of the AHPSort Method

Cited by 36 publications

References 48 publications

Closing the gender gap at academic conferences: A tool for monitoring and assessing academic events

Closing the gender gap at academic conferences: A tool for monitoring and assessing academic events

A Quantitative Occupational Risk Assessment Methodology Based on TOPSIS-Sort with its Application in Aluminum Extrusion Industry

Group Analytic Hierarchy Process Sorting II Method: An Application to Evaluate the Economic Value of a Wine Region Landscape

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