Method for Solving Multiple Criteria Decision Making (MCDM) Problems and Decision Support System

Author(s):  
Nikolay Tontchev ◽  
Stefan Ivanov
Author(s):  
Abdul Haris Rangkuti

Decision making at every company is something very important and vital. Decision making can be influenced by several aspects, so it can affect the promptness and accuracy of the process, especially when solving any complex, dynamic and less structured problems. Therefore, the combination of multiple criteria concept and an application program of decision-support system is an effective way to generate alternative decisions. The methods used for multiple criteria are: Bayes method, MPE, CPI and the AHP. This article discusses the use of each method, adapted to each problem. The four methods happen to be very effective with the help of the application program of decision support system. Expectantly these methods are able to assist company managements in decision-making. 


2015 ◽  
Vol 22 (4) ◽  
pp. 598-616 ◽  
Author(s):  
Tânia S. H. GONÇALVES ◽  
Fernando A. F. FERREIRA ◽  
Marjan S. JALALI ◽  
Ieva MEIDUTĖ-KAVALIAUSKIENĖ

Small and medium-sized enterprises (SMEs) are currently considered an important driving force of economic growth. Several studies have been developed to analyse this issue and, in particular, to assess the credit risk of SMEs. Most of these applications, however, share the same methodological limitations, such as the manner by which criteria are selected, or the methods used for calculating the weights between them. Based on the integrated use of cognitive mapping techniques and the Interactive Multiple Criteria Decision Making (TODIM) approach, this study aims to create an idiosyncratic decision support system for the identification of multiple criteria and the calculation of their respective weights (i.e. the trade-offs) in the evaluation of SME credit risk. The results show that the model created in this study allows for simple and straightforward credit concession decisions, facilitating the evaluation of SME credit applications through more informed and transparent risk assessments. Practical implications, strengths and weaknesses of the proposed framework are analysed and discussed.


2018 ◽  
Vol 7 (2.3) ◽  
pp. 109 ◽  
Author(s):  
Asmara Indahingwati ◽  
Muh Barid Nizarudin Wajdi ◽  
Dwi Ermayanti Susilo ◽  
Nuning Kurniasih ◽  
Robbi Rahim

Decision Support System is an interactive system that supports decision in the decision-making process through alternatives derived from the processing of data, information and design of the models. Selection decision support system of chemical fertilizer in fruit plant is expected to help anyone who wants to cultivate fruit trees can determine the chemical fertilizer as expected based alternatives and criteria set by the user. In this research method used is TOPSIS Method and Method of Fuzzy Logic. TOPSIS method is one of multiple criteria decision making method that uses the principle that the alternatives selected must have the shortest distance. Fuzzy Logic is a methodology of control systems troubleshooting, the fuzzy logic stated that everything is a binary which means it is only two possibilities, "Yes or No", "True or False", "Good or Bad", and others. Therefore, all of these can have a membership value of 0 or 1.  


2018 ◽  
Vol 2 (2) ◽  
pp. 566-571
Author(s):  
Doni Winarso ◽  
Fitri Nurita ◽  
Syahril Syahril

This research aims to build a decision support system (DSS), that is used to recommend a place of Industrial Practice (in Indonesia known as PRAKERIN) for students who will plunge into the world of industrial world (DUDI). The reason why this research is raised is due to the frequent difficulties faced by students in determining which location suits their needs. In this research, location selection is calculated using weighted product (WP) method. WP method is one of Multiple Criteria Decision Making (MCDM) method that can solve one dimensional and multi dimensional problems. From the results of research conducted found that the WP method can help determine the location prakerin for students, so for students it is very helpful to them in determining prakerin location in accordance with the criteria specified.


2016 ◽  
Vol 8 (1) ◽  
pp. 25-42 ◽  
Author(s):  
Imene Benatia ◽  
Mohamed Ridda Laouar ◽  
Hakim Bendjenna ◽  
Sean B. Eom

This paper introduces the architecture and the deployment of a Cloud based decision support system (DSS). The DSS the authors proposed is deployed on a platform Cloud (CloudBees) and managed by the OpenStack infrastructure. The DSS is built on the Cloud Computing architecture with three layers and includes the multiple criteria decision making (MCDM) method PROMETHEE II as well as the procedure of negotiation Hare in order to help the decision makers to select the best urban project. The Cloud based DSS reduces the deployment and processing time, ameliorates the communication and the cooperation between the decision makers, facilitates the accessibility and decrease the cost. The Cloud based multiple criteria DSS the authors designed and implemented has significant advantages. It reduces the deployment and processing time, ameliorates the communication and the cooperation between the decision makers, facilitates the accessibility, and decrease the cost.


Author(s):  
Lidia K Simanjuntak ◽  
Tessa Y M Sihite ◽  
Mesran Mesran ◽  
Nuning Kurniasih ◽  
Yuhandri Yuhandri

All colleges each year organize the selection of new admissions. Acceptance of prospective students in universities as education providers is done by selecting prospective students based on achievement in school and college entrance selection. To select the best student candidates based on predetermined criteria, then use Multi-Criteria Decision Making (MCDM) or commonly called decision support system. One method in MCDM is the Elimination Et Choix Traduisant la Reality (ELECTRE). The ELECTRE method is the best method of action selection. The ELECTRE method to obtain the best alternative by eliminating alternative that do not fit the criteria and can be applied to the decision SNMPTN invitation path.


Author(s):  
Liza Handayani ◽  
Muhammad Syahrizal ◽  
Kennedi Tampubolon

The head of the environment is an extension of the head of the village head in assisting or providing services to the community both in the administration of administration in the village and to other problems. It is natural for a kepling to be appreciated for their performance during their special tenure in the kecamatan field area. Previously, the selection of a dipling in a sub-district was very inefficient and seemed unfair for this exemplary selection to use a system to produce an accurate value, and no intentional element. To overcome the process of selecting an exemplary kepling that experiences these obstacles by using an application called a Decision Support System. Decision Support System (SPK) is a system that can solve a problem, and this system is also assisted with several methods, namely the Rank Order Centroid (ROC) method that can assign weight values to each of the criteria based on their priority level. And to do the ranking or determine an exemplary set using the Additive Ratio Assessment (ARAS) method, this method provides decision making that takes decisions based on ranking or the highest value.Keywords: Head of Medan Area Subdistrict, SPK, Centroid Rank Order, Additive Ratio Assessment (ARAS).


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