A Consensus Reaching Support System for Multi-criteria Decision Making Problems

Author(s):  
Dominika Gołuńska ◽  
Janusz Kacprzyk
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.


2021 ◽  
Vol 1933 (1) ◽  
pp. 012017
Author(s):  
Arman Jayady ◽  
Tonny Hidayat ◽  
Erni Qomariyah ◽  
BB Suriyani ◽  
Muh. Najib Husain ◽  
...  

2020 ◽  
Vol 2 (1) ◽  
pp. 10
Author(s):  
Muchamad Zainul Rohman

The scholarship selection process of Politeknik Negeri Samarinda are constraints on the decision-making process. This is because there is no objective method to determine quickly and precisely. To assist in the determination of the set someone worthy scholarship in this study will be design DSS (Decision Support System) with model of Multi-Criteria Decision Making. The method used is the method Profile Matching. Profile Matching methods have been able to select the best alternative from a number of alternatives, in this case meant that alternatives are eligible to receive scholarships based on the criteria specified. Research carried out by finding the weights for each sub-aspect, then carried ranking process that will determine the optimal alternative, the best students will be considered by decisionmakersto get a scholarship. Proses seleksi beasiswa di Politeknik Negeri Samarinda banyak terdapat kendala pada proses pengambilan keputusan. Hal ini dikarenakan belum ada metode objektif yang dapat memutuskan dengan cepat dan tepat. Untuk membantu penentuan dalam menetapkan seseorang yang layak menerima beasiswa maka dalam penelitian ini akan didesainkan DSS (Decision Support System) dengan model Multi Criteria Decision Making. Metode yang digunakan adalah metode Profile Matching. Metode Profile Matching dipilih karena mampu menyeleksi alternatif terbaik dari sejumlah alternatif, dalam hal ini alternatif yang dimaksudkan yaitu yang berhak menerima beasiswa berdasarkan kriteria-kriteria yang ditentukan. Penelitian dilakukan dengan mencari nilai bobot untuk setiap sub aspek, kemudian dilakukan proses perankingan yang akan menentukan alternatif yang optimal, yaitu mahasiswa terbaik yang akan dipertimbangkan oleh pengambil keputusan untuk mendapatkan beasiswa.


JURTEKSI ◽  
2017 ◽  
Vol 4 (1) ◽  
pp. 57-64
Author(s):  
Adi Prijuna Lubis

Abstract: This decision support system is an alternative to helping rabbit breeders to determine which broiler rabbit is feasible to develop. Along with the increasing public demand for rabbit production. Rabbit breeders are eager to choose the type of rabbit that really qualified and can grow fast. For that decision support system is helping the farmers to choose the type of quality broiler rabbit or feasible to be developed. To facilitate rabbit breeders in developing rabbit prodution in determining the best types of broiler rabbit and To get more accurate results in the process of determining the types of broiler rabbits. Also Applying Decision Support System with Fuzzy Multi Criteria Decision Making method can simplify and accelerate to determine the best types of broiler rabbit to be developed Keywords: broiler rabbit, fuzzy multi criteria decision making Abstrak: Sistem Pendukung keputusan ini merupakan alternatif untuk membantu peternak kelinci untuk menentukan kelinci pedaging yang layak untuk di kembangkan. Seiring dengan meningkatnya permintaan masyarakat akan produksi kelinci. Peternak kelinci berkeinginan untuk memilih jenis kelinci yang benar benar berkualitas dan dapat berkembang cepat. Untuk itu sistem pendukung keputusan ini membantu pihak peternak untuk memilih jenis kelinci pedaging yang berkualitas atau layak untuk di kembangkan. Untuk memudahkan pihak peternak kelinci dalam mengembangkan produsi kelinci dalam menentukan jenis kelinci pedaging terbaik dan Untuk mendapatkan hasil yang lebih akurat dalam proses penentuan jenis kelinci pedaging. Juga Menerapkan Sistem pendukung keputusan dengan metode Fuzzy Multi Criteria Decision Making dapat mempermudah dan mempercepat untuk menentukan jenis kelinci pedaging terbaik untuk dikembangkan. Kata kunci: kelinci pedaging, fuzzy multi criteria decision making


Author(s):  
Retnowati Sitanggang ◽  
Garuda Ginting

The North Sumatra Police Board award team headed by the Deputy Chief of Police conducted the election of Ditreskrimsus personnel each month by giving awards to personnel / apparatuses who had real and extraordinary achievements whose results could be proud of and beneficial for the advancement of institutional quality improvement. Decision support systems or often referred to as Multi Criteria Decision Making (MCDM) function to carry out the selection process and assist someone in making accurate and targeted decisions. One method in the MCDM is Vlsekriterijumska Opimizacija I Kompromisno Resenje (VIKOR). Where this method is used to select more than one criterion and has advantages in compromising existing alternatives, then the best results selection process will be carried out, and can complete discretionary decision making. The purpose of this study is to apply the VIKOR method in making decision-making decisions for outstanding personnel in Ditreskrimsus.Keywords: decision support system, ditreskrimsus, vikor


Author(s):  
Aji Prasetya Wibawa ◽  
Juwita Annisa Fauzi ◽  
Seno Isbiyantoro ◽  
Rahmat Irsyada ◽  
Dhaniyar Dhaniyar ◽  
...  

DSS is built to support the solution recommendation of a problem. AHP and VIKOR are examples of DSS method. Due to VIKOR’s subjective weighting, this study combines the AHP and VIKOR approach to create a better and more reliable decision support system. The DSS is used to recommend article acceptance using five criteria: originality, quality, clarity, significance, and relevance. The results showed that AHP-VIKOR outperforms the performance of VIKOR. AHP weighting reliably replaces the subjective VIKOR’s initial weighting. The AHP-VIKOR result is more accurate and steadier than VIKOR. Thus, AHP-VIKOR can be presented as a proposed approach for creating a recommendation of scientific article acceptance.


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