Fuzzy analytic hierarchy process based group decision support system to select and evaluate new manufacturing technologies

2006 ◽  
Vol 32 (11-12) ◽  
pp. 1253-1262 ◽  
Author(s):  
Srihari Jaganathan ◽  
Jinson J. Erinjeri ◽  
Jun-ing Ker
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Analytic Hierarchy Process ◽  
Support System ◽  
Group Decision ◽  
Group Decision Support ◽  
Group Decision Support System ◽  
Analytic Hierarchy ◽  
Manufacturing Technologies ◽  
Hierarchy Process

Towards a Group Decision Support System

2018 ◽  
Vol 10 (1) ◽  
pp. 1-24
Author(s):  
Souad Madouri ◽  
Djamila Hamdadou
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Group Decision ◽  
Group Decision Support ◽  
Decision Makers ◽  
Shopping Mall ◽  
Group Decision Support System ◽  
Analytic Hierarchy ◽  
Hierarchy Process

This research focuses on the design and development of an interactive multi-criteria group decision support system (GDSS). This system comprises a set of agents communicating through messages. They aim to find an adequate area that can best address certain criteria among a set of variants (e.g. localization of new infrastructure, shopping mall, hospital, etc.). A GDSS is designed and relies mainly on the presentation of the territory through the functionalities of geographic information system (GIS), and the representation of the multiplicity and diversity of decision makers through the functionalities of a multi-agents system (MAS). Moreover, an argumentation-based negotiation protocol MAS module is provided. This approach is justified by the argumentative nature of the process by which participants justify their choices in order to reach a collective decision. This is achieved by exploiting the multi-criteria methods with an analytic hierarchy process (AHP) and Electre III.

Towards a Group Decision Support System

2021 ◽  
pp. 134-160
Author(s):  
Souad Madouri ◽  
Djamila Hamdadou
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Group Decision ◽  
Group Decision Support ◽  
Shopping Mall ◽  
Group Decision Support System ◽  
Analytic Hierarchy ◽  
Negotiation Protocol ◽  
Hierarchy Process

This research focuses on the design and development of an interactive multi-criteria group decision support system (GDSS). This system comprises a set of agents communicating through messages. They aim to find an adequate area that can best address certain criteria among a set of variants (e.g. localization of new infrastructure, shopping mall, hospital, etc.). A GDSS is designed and relies mainly on the presentation of the territory through the functionalities of geographic information system (GIS), and the representation of the multiplicity and diversity of decision makers through the functionalities of a multi-agents system (MAS). Moreover, an argumentation-based negotiation protocol MAS module is provided. This approach is justified by the argumentative nature of the process by which participants justify their choices in order to reach a collective decision. This is achieved by exploiting the multi-criteria methods with an analytic hierarchy process (AHP) and Electre III.

scholarly journals Utility Revision Mechanism Based on User’s Subjective Decision Hierarchy for Multiagent-Based Group Decision Support

1999 ◽  
Vol 3 (3) ◽  
pp. 207-210
Author(s):  
Takayuki Ito ◽  
◽  
Toramatsu Shintani
Keyword(s):  
Decision Support ◽  
Support System ◽  
Group Decision ◽  
Group Decision Support ◽  
Group Decision Support System ◽  
Analytic Hierarchy ◽  
Design Support System ◽  
Negotiation Agents ◽  
Multiagent Negotiation ◽  
Hierarchy Process

We propose a utility revision mechanism for persuasion among agents in the Group Choice Design Support System (GCDSS). GCDSS is a group decision support system based on multiagent negotiation. In GCDSS, each user manages a system for an Analytic Hierarchy Process (AHP) and an agent. Each user subjectively constructs a decision hierarchy and determines weights of alternatives using AHP Based on the hierarchy and weights, agents negotiate with each other on behalf of users. In negotiation, agents attempt to persuade each other. If an agent is persuaded, the agent attempts to revise its utility for a state of its decision hierarchy by adjusting pairwise comparisons in AHP We propose a utility revision mechanism for persuasion among agents using the user’s subjective decision hierarchy of AHP to make persuasion more flexible. Agents try to make their decision hierarchy reliable to revise its utility.

scholarly journals GDSS PENILAIAN KINERJA DAN PERINGKAT GURU PADA YAYASAN PENDIDIKAN ASISI DENGAN METODE AHP DAN BORDA

2017 ◽  
Vol 1 (1) ◽  
pp. 91
Author(s):  
Godeliva Vania Ekawardhani ◽  
Zyad Rusdi ◽  
Dedi Trisnawarman
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Group Decision ◽  
Group Decision Support ◽  
Group Decision Support System ◽  
Hierarchy Process

Tujuan dari penulisan makalah ini adalah mengembangkan suatu Group Decision Support System (GDSS) untuk menentukan penilaian kinerja dan peringkat Guru. Metode yang digunakan dalam penulisan ini adalah metode Analytical Hierarchy Process (AHP) dan Borda. Metode AHP digunakan untuk menentukan penilaian kinerja setiap guru. Sedangkan metode Borda digunakan untuk menentukan peringkat guru. Hasil yang diperoleh adalah sebuah GDSS yang dijalankan menggunakan LAN dan dapat diakses oleh multi-user yaitu Kepala Sekolah, sesama Guru dan Murid. Hasil evaluasi menunjukkan 67% user sangat setuju dan 33% user mengatakan setuju bahwa aplikasi membantu dalam proses penilaian guru, hasil evaluasi lainnya menunjukkan 58% user sangat setuju dan 42% user setuju bahwa aplikasi mudah untuk digunakan.

SELEKSI ASISTEN PELATIH BELA DIRI DENGAN PERBANDINGAN METODE AHP (Analytic Hierarchy Process) DAN METODE SAW (Simple Additive Weighting)

2016 ◽  
Vol 1 (1) ◽  
pp. 088
Author(s):  
Wahyu Joni Kurniawan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Analytic Hierarchy Process ◽  
Support System ◽  
Analytic Hierarchy ◽  
Assistant Coach ◽  
Simple Additive Weighting ◽  
Hierarchy Process ◽  
Selection Of ◽  
Discipline Knowledge

This study was conducted to assist in the selection of martial assistant coach, to determine who is right. Its results will didadaptkan by comparing the two methods in the decision support system, by using the Analytic Hierarchy Process (AHP) and the Simple Additive Weight (SAW) in limiting the problems in producing the desired solution, using multiple criteria (multi-criteria). AHP and SAW has a different way of doing the calculation. This is done to determine which method is looking for help in making decisions. And in this study are the criteria Discipline, Knowledge, Leadership, Attitude, and Level. And there are sub criteria on Level, which Black (AND I) and Red Black II.

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