scholarly journals Monte Carlo Simulation Techniques in a Decision Support System for Group Decision Making

2005 ◽  
Vol 14 (2) ◽  
pp. 109-130 ◽  
Author(s):  
Antonio Jiménez ◽  
Alfonso Mateos ◽  
Sixto Ríos-Insua
JOURNAL ASRO ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Didit Herdiawan Ashaf ◽  
Sutikno Wahyu Hidayat ◽  
Ahmadi Ahmadi

Increasing population growth also contributes to the increasing need for homes or dwellings as basic human needs. Many ways people do to meet these needs, among others, by buying from someone else, building it yourself or by buying a house in a housing developer. Houses besides being a basic human need, it is also used as an indicator of one's success and as an asset for business development and an increase in the economic value of the owner. Prospective home buyers certainly have criteria that are considered in choosing a house. Many of the existing criteria are often followed by the availability of more than one choice of the house to be able to meet these criteria. Therefore, the writer tries to try to make a Decision Support System in a Home Purchase that will later help prospective home buyers in deciding which house to buy. The decision-making method used in this system is an analytical hierarchy process (AHP) as a form of decision-making model that is suitable for multi-criteria and multi-alternative problems with the main input being human perception. Combined with the Borda method which is one method of group decision making that can combine the results of perceptual analysis (the results of AHP analysis) from several decision makers. it is necessary to have a group decision-making technique (group decision support system). So that the resulting home purchase decision can be accepted by all decision makers (family). From the results of the calculation and voting process, House X was chosen with 9 votes.   Keywords: Home Purchase, Analytical Hierarchy Process, Borda


2011 ◽  
Vol 403-408 ◽  
pp. 954-962
Author(s):  
Mayur Gaigole ◽  
Nilay Khere

This paper presents a web base multicriteria group decision support system for evaluating information security policy decision making with respect to Indian e-government system. This study first proposes a rational-political group decision-making model which identifies three uncertain factors involved in a group decision-making process: decision maker’s roles in a group reaching a satisfactory solution, preferences for alternatives and judgments for assessment criteria. Based on the model, a linguistic term oriented multi criteria group decision-making method is developed. The method uses general fuzzy number to deal with the three uncertain factors described by linguistic terms and aggregates these factors into a group satisfactory decision that is in a most acceptable degree of the group. Moreover, this study implements the method by developing a web-based group decision support system. This system allows decision makers to participate a group decision-making through the web, and manages the group decision-making process as a whole, from criteria generation, alternative evaluation, opinions interaction to decision aggregation. An information security decision making problem is presented to demonstrate the effectiveness of the approach.


2020 ◽  
Vol 7 (2) ◽  
pp. 114-125
Author(s):  
Ardy Hidayat ◽  
Reza Firsandaya Malik ◽  
Siti Nurmaini

Layanan sistem antrian di di Rumah Sakit mengalami masalah bahwa antrian layanan lebih lama dari pada pelayanan kesehatanya sendiri. Atas dasar hal tersebut dibutuhkan sebuah model yang mampu memberikan layanan antri yang tepat sasaran dan memberikan rasa keadilan kepada pengantri. Dalam paper ini digunakan 10 kriteria untuk menentukan prioritas antrian yakni: Faktor Risiko Penyakit, Biaya Perawatan, Tenaga Medis, Peralatan Kesehatan, Waktu tunggu, Jarak Domisili Pasien, Usia, Jenis Kelamin, Jumlah pasien yang dilayani diunit yang dituju dan Keputusan Pimpinan. Ke-10 kriteria ini agar diperoleh hasil yang lebih objektif dikombinasikan dengan Group Decision Making Tipe 2 (GDM2) dan metode entropy untuk mengevaluasi antrian model Multiple Channel Model (M/M/s). Jumlah loket layanan sangat berpengaruh terhadap jumlah antrian dan waktu layanan. Kesimpulan yang didapat bahwa menambah jumlah loket layanan sebanyak dua kali lipat dari akan memangkas 1/2 dari jumlah orang yang dilayani per-satuan waktu pada setiap jalur antrian terutama direntang waktu antara jam 8.00 wib s.d. 10.00 wib. Selain itu berdasarkan penilaian Decision Maker (DM) dalam kelompok pengambil keputusan, kriteria biaya adalah faktor paling penting atau kritis ketika memberikan prioritas layanan diikuti dengan kriteria keputusan pimpinan dan faktor risiko penyakit. Penambahan kategori-kategori penyakit yang berbahaya dalam sistem antrian dapat membuat sistem ini menjadi lebih baik.


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