scholarly journals DECISION SUPPORT SYSTEM FOR HYDRO POWER PLANTS IN AMAZON CONSIDERING THE COST OF EXTERNALITIES

2020 ◽  
Vol 10 (2) ◽  
pp. 40-47 ◽  
Author(s):  
Evelyn Gabbay Alves Carvalho ◽  
Claudio José Cavalcante Blanco ◽  
André Augusto Azevedo Montenegro Duarte ◽  
Luiz Maurício Furtado Maués
Fuzzy Systems ◽  
2017 ◽  
pp. 1620-1642
Author(s):  
Vjekoslav Bobar ◽  
Ksenija Mandic ◽  
Milija Suknovic

Bidder selection in public procurement is a decision making problem whose primary purpose is to achieve the cost effectiveness and efficiency in the expenditure of public money. This principle is also known as the principle of “value for money”. This selection is based on many alternatives and many quantitative and qualitative criteria where qualitative criteria are often expressed as linguistic uncertain variables. The theory of fuzzy sets is a tool suitable to model uncertainty when applied to a variety of problems in real life. However, many fuzzy methods require complex calculation and they are not appropriate for using in public procurement because they slow down this process. In this paper, in order to make a quick decision in public procurement, a Decision Support System based on the fuzzy extent analysis method is developed. In order to demonstrate the usefulness of this system, a real-life case scenario of public procurement is presented.


Author(s):  
Milton Fonseca Júnior ◽  
Jandecy Cabral Leite ◽  
Tirso Lorenzo Reyes Carvajal ◽  
Manoel Henrique Reis Nascimento ◽  
Jorge de Almeida Brito Júnior ◽  
...  

2015 ◽  
Vol 7 (1) ◽  
pp. 31-49 ◽  
Author(s):  
Vjekoslav Bobar ◽  
Ksenija Mandic ◽  
Milija Suknovic

Bidder selection in public procurement is a decision making problem whose primary purpose is to achieve the cost effectiveness and efficiency in the expenditure of public money. This principle is also known as the principle of “value for money”. This selection is based on many alternatives and many quantitative and qualitative criteria where qualitative criteria are often expressed as linguistic uncertain variables. The theory of fuzzy sets is a tool suitable to model uncertainty when applied to a variety of problems in real life. However, many fuzzy methods require complex calculation and they are not appropriate for using in public procurement because they slow down this process. In this paper, in order to make a quick decision in public procurement, a Decision Support System based on the fuzzy extent analysis method is developed. In order to demonstrate the usefulness of this system, a real-life case scenario of public procurement is presented.


2021 ◽  
Vol 5 (01) ◽  
pp. 12-22
Author(s):  
Rayinda Pramuditya Soesanto ◽  
Afrin Fauzya Rizana

Wedding organizers, as one of the creative industries, often participate in a trade show as one of the marketing mediums. Many wedding-related trades show events are held every year. But the cost to participate in one trade show event is quite expensive and increases from time to time. Thus, before deciding to participate in a trade show, it is important to evaluate whether the trade show events are recommended to join or not. The purpose of this study is to design a decision support system that will help the wedding organizer to decide their participation in a trade show. The decision model was constructed using AHP and TOPSIS methods. There are seven factors considered in the model, i.e., tradeshow location, reputation and professionalism of the organizer, cost estimation, trade show prestige, tenant reputation, time of the event, the attractiveness of the event. By using the AHP method, the priority weight of each factor was calculated. Moreover, the weight obtained will be used in developing a decision model combined with the TOPSIS method. The decision support system was developed afterward by using the SCRUM method. The feature of the system is discussed in the paper.


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