Comparison of Multi-Criteria Decision Support Methods (AHP, TOPSIS, SAW &amp; PROMENTHEE) for Employee Placement

Widianta, M M D; Rizaldi, Taufiq; Setyohadi, Dwi Putro Sarwo; Riskiawan, Hendra Yufit

doi:10.1088/1742-6596/953/1/012116

Cited by 87 publications

(71 citation statements)

References 1 publication

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“…The best alternative should have the shortest distance from the ideal solution and farthest from the negative ideal solution (NIS) from geometric mean using Euclidean distance to determine the relative proximity of an alternative from the optimal solution. The positive ideal solution (PIS) is computed by the sum of all the best attainable values for each attribute while the NIS consists of all the worst values obtained for each attribute (Widianta et al, 2018). The relative distance is compared, and the performance score is calculated to finally rank the alternatives (Rohmatulloh & Winarni, 2014).…”

Section: Methodsmentioning

confidence: 99%

Performance Evaluation of Agro-tourism Clusters using AHP–TOPSIS

Joshi

Sharma

Singh

2020

Journal of Operations and Strategic Planning

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The aim of this article is to recognize the key critical success factors (CSFs) that determine the performance of agritourism clusters using combined analytical hierarchy process (AHP)-the technique for order of preference by similarity to ideal solution (TOPSIS) method. The operational performance of agritourism clusters was determined using integrated approach, and 11 CSFs were initially identified through systematic literature review. Furthermore, experts validated and finalized nine CSFs that can determine the sustainable performance of agritourism network. Totally 15 experts (including practitioners and agritourism supply chain partners), were engaged in data collection process. The AHP application exhibits that destination attractiveness (D5) has the highest priority (0.156) among all the dimensions followed by local community contribution and sustainable livelihoods (D9). Furthermore, TOPSIS demonstrates that Pithoragarh (C7) has the ideal best value (0.7705) indicating that this cluster is performing the best among all the clusters followed by Almora (0.7209). The identification of CSFs to evaluate the performance of clusters in Uttarakhand, India can serve as guiding tool for the agritourism practitioners. The examination of pertinent issues with the focus on major support required, bottlenecks in adoption, key benefits of sustainable agritourism activities and most common sustainable practices are expected to provide new understanding about the sustainable agritourism business-based issues in India. The only limitation of this study is the geographic coverage and limited demography of the respondents. This study is one of the first efforts on assessing agritourism supply chain practices in India, with the special reference to Uttarakhand state.

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Section: Methodsmentioning

confidence: 99%

Performance Evaluation of Agro-tourism Clusters using AHP–TOPSIS

Joshi

Sharma

Singh

2020

Journal of Operations and Strategic Planning

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“…The initial stage of the AHP method begins with structuring the problem into a hierarchy and then evaluating the components with a paired comparison matrix. The objectives are placed in the authority at the top level, while the criteria and sub-criteria are at the middle level; alternatives are at the lowest level [11] comparison of paired matrices with a scale value of one to nine used for all criteria and options. Then we determine the weights for each standard, and all local weights for each criterion calculate to obtain the global weights for all other options [12].…”

Section: Methodsmentioning

confidence: 99%

Analysis of Multiple Criteria Decision Making Method for Selection the Superior Cattle

Sumaryanti¹,

Nurcholis²

2020

intensif

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The results of decision making play an important role in achieving a goal in solving certain problems. In the decision making process requires data or supporting evidence that can be used as a guide for the selection of solutions based on available alternatives, so as to produce choices that can increase productivity. MCDM method for the analysis of research data namely AHP, TOPSIS and SMART, the three methods are tested, because each MCDM method has a different way of working or algorithm, so it is necessary to experiment with certain cases. This study aims to determine the performance of the AHP, TOPSIS, and SMART methods with a case study of selecting superior female cattle breeds. The application of three MCDM methods for alternative analysts of prospective superior beef cattle based on testing to determine the accuracy of comparing the results/output of the system with expert recommendation solutions using a sample of 15 female cows that produce priority/ranking for superior beef cattle, shows that the performance of the three methods produces priority selection results the same, with 80% priority accuracy.

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“…This uncertainty is dealt with by engaging experts and the use of reliable baseline data in establishing relationships among indicators [74,75]. However, studies have shown that the AHP accuracy is compromised, if there are too many criteria or factors (more than 9) used during the pairwise comparison [64,76,77].…”

Section: Methods To Calculate and Integrate Indicator Indices And Devementioning

confidence: 99%

Sustainability Indicators and Indices for the Water-Energy-Food Nexus for Performance Assessment: WEF Nexus in Practice – South Africa Case Study

Nhamo¹,

Mabhaudhi²,

Mpandeli³

et al. 2019

Preprint

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The missing link between cross-sectoral resource utilisation and management, and full-scale adoption of the water-energy-food (WEF) nexus has been lack of analytical tools to support policy and decision-making. This paper defined WEF nexus sustainability indicators and developed a methodology to calculate composite indices to facilitate WEF nexus performance, monitoring and evaluation. WEF nexus indicators were integrated through the Analytic Hierarchy Process (AHP) in a multi-criteria decision-making (MCDM). Data were normalised to determine composite indices. The method established quantitative relationships among WEF nexus sectors to indicate resource utilisation and performance over time, using South Africa as a case study. A spider graph of normalised indices was used to illustrate WEF nexus indicator performance and inter-relationships, providing a synopsis of the level of interactions and inter-connectedness of WEF nexus sectors. The shape of the spider graph is determined by the level of the interdependencies and interactions among the WEF nexus sectors, whose management is viewed either as sustainable or unsustainable depending on the classification of the developed integrated index. The spider graph produced for South Africa shows an over emphasis on food self-sufficiency and water productivity at the expense of other sectors, which results from the sectoral approach in resource management. Although the calculated integrated index of 0.203 for South Africa is classified as lowly sustainable, the emphasis is on the quantitative relationships among the indicators and on how to improve them to achieve sustainability. The developed method provides evidence to decision makers, indicating priority areas for intervention. The analytical model is another niche area for the WEF nexus, as it is now capable to evaluate synergies and trade-offs in a holistic way to improve efficiency and productivity in resource use and management for sustainable development.

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Comparison of Multi-Criteria Decision Support Methods (AHP, TOPSIS, SAW & PROMENTHEE) for Employee Placement

Cited by 87 publications

References 1 publication

Performance Evaluation of Agro-tourism Clusters using AHP–TOPSIS

Performance Evaluation of Agro-tourism Clusters using AHP–TOPSIS

Analysis of Multiple Criteria Decision Making Method for Selection the Superior Cattle

Sustainability Indicators and Indices for the Water-Energy-Food Nexus for Performance Assessment: WEF Nexus in Practice – South Africa Case Study

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Comparison of Multi-Criteria Decision Support Methods (AHP, TOPSIS, SAW & PROMENTHEE) for Employee Placement

Cited by 87 publications

References 1 publication

Performance Evaluation of Agro-tourism Clusters using AHP–TOPSIS

Performance Evaluation of Agro-tourism Clusters using AHP–TOPSIS

Analysis of Multiple Criteria Decision Making Method for Selection the Superior Cattle

Sustainability Indicators and Indices for the Water-Energy-Food Nexus for&nbsp;Performance Assessment: WEF Nexus in Practice &ndash; South Africa Case Study

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Sustainability Indicators and Indices for the Water-Energy-Food Nexus for Performance Assessment: WEF Nexus in Practice – South Africa Case Study