Evaluating Lithuanian banks from the perspective of their reliability to customers by PROMETHEE method

2010 ◽  
Author(s):  
Romualdas Ginevičius ◽  
Valentinas Podvezko ◽  
Miloslav Novotny
Keyword(s):  
Promethee Method

scholarly journals Multicriteria Evaluation of Urban Regeneration Processes: An Application of PROMETHEE Method in Northern Italy

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Marta Bottero ◽  
Chiara D’Alpaos ◽  
Alessandra Oppio
Keyword(s):  
Decision Making ◽  
Decision Problem ◽  
Swot Analysis ◽  
Evaluation Model ◽  
Methodological Approach ◽  
Urban Regeneration ◽  
Northern Italy ◽  
Decision Making Process ◽  
Promethee Method ◽  
Regeneration Processes

The paper illustrates the development of an evaluation model for supporting the decision-making process related to an urban regeneration intervention. In particular, the study proposes an original multi-methodological approach, which combines SWOT Analysis, Stakeholders Analysis and PROMETHEE method for the evaluation of alternative renewal strategies of an urban area in Northern Italy. The article also describes the work carried out within an experts’ panel that has been organized for validating the structuring of the decision problem and for evaluating the criteria of the model.

scholarly journals Evaluation of Sustainability of Maize Cultivation in Poland. A Prospect Theory—PROMETHEE Approach

2018 ◽  
Vol 10 (11) ◽  
pp. 4263 ◽  
Author(s):  
Aleksandra Król ◽  
Jerzy Księżak ◽  
Elżbieta Kubińska ◽  
Stelios Rozakis
Keyword(s):  
Prospect Theory ◽  
Reduced Tillage ◽  
Small Farm ◽  
Tillage Practices ◽  
Maize Cultivation ◽  
Long Term Experiment ◽  
Promethee Method ◽  
Large Farm ◽  
Alternative Practices ◽  
Direct Sowing

This study aims at exploiting research outcomes concerning tillage practices in order to make solutions available to farmers to mitigate negative environmental impact to soils. Two alternative practices have been analysed against conventional full tillage based on data provided by a long-term experiment conducted at the Institute of Soil Science and Plant Cultivation (IUNG) farm in Grabów, Central Poland. Reduced Tillage and Direct Sowing are evaluated against Full Tillage on the basis of socio-economic and environmental criteria. Multi-criteria decision analysis undertaken using the PROMETHEE method provided evidence that the ‘optimal’ maize cultivation system depends on the decision maker’s viewpoint and preferences. In fact, criteria selected and related weights elicited from representative farmers, as well as from an expert agronomist, reveal different viewpoints. Direct sowing was the most preferable for the large farm and expert perspective, whereas in case of small farm reduced tillage ranked first. Prospect theory developed by behavioural economists was incorporated to take into account decision biases. As a matter of fact, based on Prospect Theory-PROMETHEE from the small farm and the expert perspective, the conventional system was now ranked first, while for the large farm, the most preferable practice was still direct sowing.

Evaluation of ecotourism sites: a GIS-based multi-criteria decision analysis

Kybernetes ◽  
2018 ◽  
Vol 47 (8) ◽  
pp. 1664-1686 ◽  
Author(s):  
Cihan Çetinkaya ◽  
Mehmet Kabak ◽  
Mehmet Erbaş ◽  
Eren Özceylan
Keyword(s):  
Black Sea ◽  
Real Data ◽  
The Black Sea ◽  
Second Phase ◽  
Content Type ◽  
Black Sea Region ◽  
Evaluation Approach ◽  
Third Phase ◽  
Proposed Model ◽  
Promethee Method

Purpose The aim of this study is to evaluate the potential geographic locations for ecotourism activities and to select the best one among alternatives. Design/methodology/approach The proposed model consists of four sequential phases. In the first phase, different geographic criteria are determined based on existing literature, and data are gathered using GIS. On equal criteria weighing, alternative locations are determined using GIS in the second phase. In the third phase, the identified criteria are weighted using analytical hierarchy process (AHP) by various stakeholders of potential ecotourism sites. In the fourth phase, the PROMETHEE method is applied to determine the best alternative based on the weighted criteria. Findings A framework including four sequential steps is proposed. Using real data from the Black Sea region in Turkey, the authors test the applicability of the evaluation approach and compare the best alternative obtained by the proposed method for nine cities in the region. Consequently, west of Sinop, east of Artvin and south of the Black Sea region are determined as very suitable locations for ecotourism. Research limitations/implications The first limitation of the study is considered the number of included criteria. Another limitation is the use of deterministic parameters that do not cope with uncertainty. Further research can be conducted for determining the optimum locations for different types of tourism, e.g. religion tourism, hunting tourism and golf tourism, for effective tourism planning. Practical implications The proposed approach can be applied to all area that cover the considered criteria. The approach has been tested in the Black Sea region (nine cities) in Turkey. Social implications Using the proposed approach, decision-makers can determine locations where environmentally responsible travel to natural areas to enjoy and appreciate nature that promotes conservation have a low visitor impact and provide for beneficially active socioeconomic involvement of local individuals. Originality/value To the best knowledge of the authors, this is the first study which applies a GIS-based multi-criteria decision-making approach for ecotourism site selection.

scholarly journals Risk assessment of transitional economies by multivariate and multicriteria approaches

2010 ◽  
Vol 57 (3) ◽  
pp. 283-302 ◽  
Author(s):  
Neli Tomic-Plazibat ◽  
Zdravka Aljinovic ◽  
Snjezana Pivac
Keyword(s):  
Risk Assessment ◽  
Transitional Economies ◽  
Country Risk ◽  
Anova Analysis ◽  
Individual Country ◽  
East European ◽  
Promethee Method ◽  
Variance Testing ◽  
Combination Of Methods ◽  
Multivariate Cluster

This article assesses country-risk of sixteen Central, Baltic and South-East European transition countries, for 2005 and 2007, using multivariate cluster analysis. It was aided by the appropriate ANOVA (analysis of variance) testing and the multicriteria PROMETHEE method. The combination of methods makes for more accurate and efficient country-risk assessment. Country risk classifications and ratings involve evaluating the performance of countries while considering their economic and socio-political characteristics. The purpose of the article is to classify, and then find the comparative position of each individual country in the group of analyzed countries, in order to find out to which extent development of market economy and democratic society has been achieved.

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