A Study on Aggregation of TOPSIS Ideal Solutions for Group Decision-Making

Huang, Yeu‐Shiang; Li, Wei Hao

doi:10.1007/s10726-010-9218-2

Cited by 41 publications

(22 citation statements)

References 21 publications

(29 reference statements)

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“…Numerous methods have been suggested in the MCDM literature to determine the weights of diagnostic variables and can be grouped into three categories: 1) subjective, 2) objective and 3) integrated (Korzeb & Samaniego-Medina, 2019). In the conducted research, the weights were determined both from the subjective method and from objective methods based on statistical procedures, according to Olson (2009) and Huang et al (2012): 1) system w 1 -the same weighting was adopted for all variables, that is:…”

Section: Methodsmentioning

confidence: 99%

Resistance of commercial banks to the crisis caused by the COVID-19 pandemic: the case of Poland

Korzeb

Niedziółka

2020

101

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Research background: The analysis allows to assess the impact of the industry structure of the credit portfolio on the resistance of commercial banks to the crisis resulting from the COVID-19 pandemic. It uses two independent methods to measure the impact of the pandemic on industry risk and the methodology allowing to prioritize industries in terms of potential negative effects of the crisis. Purpose of the article: The aim of the research is to assess the resilience of commercial banks operating in the Polish banking sector to the potential effects caused by the COVID-19 pandemic. The diagnostic features of 13 commercial banks were selected for its implementation. Methods: Two linear ordering methods were used, namely the Hellwig method and the TOPSIS method. The following were used as the criteria for parametric assessment of the resilience of commercial banks: capital adequacy, liquidity level, profitability of business activity, share in the portfolio of exposures with recognized impairment and the resilience of the bank's credit portfolio to the risk resulting from the exposure in economic sectors. These sectors were classified according to the level of risk associated with the effects of the crisis caused by the COVID-19 pandemic. Findings & Value added: The study allows to conclude that the largest banks conducting their operations in Poland are the most resistant ones to the consequences of the pandemic. At the same time, the banks most vulnerable due to the crisis were identified. The conclusions can be used, inter alia, in the process of managing the financial system stability risk and contribute to the discussion on the impact of the pandemic on the condition of commercial banks in emerging markets.

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Section: Methodsmentioning

confidence: 99%

Resistance of commercial banks to the crisis caused by the COVID-19 pandemic: the case of Poland

Korzeb

Niedziółka

2020

101

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“…Weighting indicators were determined both from the subjective method and from objective methods based on statistical procedures, according to Olson (2004) [43] and Huang et al (2012) [44]: where:…”

Section: Diagnostic Variables and Weighting Indicatorsmentioning

confidence: 99%

Sustainability Performance. A Comparative Analysis in the Polish Banking Sector

Korzeb

Samaniego‐Medina

2019

Sustainability

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This article analyses the Polish banking sector’s involvement with sustainable development through a multidimensional evaluation applying the technique for order preference by similarity ideal solution (TOPSIS) method with different weight vectors. Our results highlight numerous shortcomings in the sustainability performance of commercial banking activities. In fact, there was backsliding during the analysed period (2015–2017), which suggests that supporting sustainability performance was not one of the priorities of the Polish banking sector. However, we found a dichotomy between national and foreign banks. The government-owned banks and national banks showed greater commitment to this issue than did the banks with foreign capital. This finding suggests that banks with foreign capital were not fully interested in sponsoring activities aimed at sustainable development.

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“…In group decisionmaking, certain decision-makers may provide overly strong preferences and aggregation techniques might mask this dominance leaving other decision-makers dissatisfied with the outcome. While some aggregation techniques target this phenomenon specifically [78], Shih et al [77] demonstrate that their method is useful under different distance measurements and internal aggregation techniques.…”

Section: Topsismentioning

confidence: 99%

Urban Pluvial Flood Management Part 1: Implementing an AHP-TOPSIS Multi-Criteria Decision Analysis Method for Stakeholder Integration in Urban Climate and Stormwater Adaptation

Axelsson

Giove

Soriani

2021

Water

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Cities are facing increasing pressures to enact adaptation measures due to climate change. While blue-green infrastructure has emerged as a focal adaptation technique for stormwater management, in order to craft adaptation policies cities must consider a multitude of emerging, complex, and competing stakeholder interests around multiple adaptation alternatives. However, accounting for these different interests, analyzing their diverse priorities, and maintaining a transparent decision-making process is not easily achieved within the existing policy frameworks. Here we define and present a combined multi-criteria decision analysis (MCDA) of the analytic hierarchy process (AHP) and the technique for order of preference by similarity to ideal solution (TOPSIS) methods that easily integrates and quantifies stakeholder priorities while remaining accessible for non-experts engaged in the policy-making process. We demonstrate the method’s effectiveness through analyzing opinions about stormwater adaptation in New York City across several stakeholder groups. The method succeeds in integrating quantitative and qualitative judgements, indicating stakeholder preferential differences and allowing for more inclusive policy to be crafted. It can be extended beyond stormwater to many urban climate adaptation decisions facing multi-criteria considerations.

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A Study on Aggregation of TOPSIS Ideal Solutions for Group Decision-Making

Cited by 41 publications

References 21 publications

Resistance of commercial banks to the crisis caused by the COVID-19 pandemic: the case of Poland

Resistance of commercial banks to the crisis caused by the COVID-19 pandemic: the case of Poland

Sustainability Performance. A Comparative Analysis in the Polish Banking Sector

Urban Pluvial Flood Management Part 1: Implementing an AHP-TOPSIS Multi-Criteria Decision Analysis Method for Stakeholder Integration in Urban Climate and Stormwater Adaptation

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