A linguistic mobile Decision Support System based on fuzzy ontology to facilitate knowledge mobilization

Nowadays, wine has become a very popular item to purchase. There are a lot of brands and a lot of different types of wines that have different prices and characteristics. Since there is a lot of options, it is easy for buyers to feel lost among the high number of possibilities. Therefore, there is a need for computational tools that help buyers to decide which is the wine that better fits their necessities. In this article, a decision support system built over a fuzzy ontology has been designed for helping people to select a wine. Two different possible architecture implementation designs are presented. Furthermore, imprecise information is used to design a comfortable way of providing information to the system. Users can use this comfortable communication system to express their preferences and provide their opinion about the selected products. Moreover, mechanisms to carry out a constant update of the fuzzy ontology are exposed.

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New clinical decision support system eliminates many grievances about their usefulness

PsycEXTRA Dataset ◽

10.1037/e504342010-004 ◽

2009 ◽

Keyword(s):

Decision Support ◽

Decision Support System ◽

Clinical Decision Support ◽

Support System ◽

Clinical Decision Support System ◽

Clinical Decision

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The AlphaACT Decision Support System for Emergency Responders

PsycEXTRA Dataset ◽

10.1037/e578652012-031 ◽

2010 ◽

Author(s):

An T. Oskarsson ◽

C. Reed Hodgin

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Emergency Responders

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ACCURACY OF ARTIFICAL INTELLIGENCE BASED DECISION SUPPORT SYSTEM COMBINED WITH BASIC CLASSIFICATION IN COLON POLYP DETERMINATION

10.1055/s-0039-1681183 ◽

2019 ◽

Author(s):

L Madacsy ◽

K Zsobrak ◽

P Schmiedt ◽

M Szalai ◽

L Oczella ◽

...

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Colon Polyp ◽

Artifical Intelligence

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Decision Support System Development Based On Android Using Analytical Hierarchy Process (AHP) Method For Determining The Middle Small Business Development Priority In Sorong City

Electro Luceat ◽

10.32531/jelekn.v5i2.152 ◽

2019 ◽

Vol 5 (2) ◽

pp. 25-39

Author(s):

Luluk Suryani ◽

Raditya Faisal Waliulu ◽

Ery Murniyasih

Keyword(s):

Decision Support ◽

Small Business ◽

Decision Support System ◽

Support System ◽

Analytical Hierarchy Process ◽

System Development ◽

Business Development ◽

Ahp Method ◽

Small Business Development ◽

Hierarchy Process

Usaha Kecil Menengah (UKM) adalah salah satu penggerak perekonomian suatu daerah, termasuk Kota Sorong. UKM di Kota Sorong belum berkembang secara optimal. Ada beberapa penyebab diantaranya adalah mengenai finansial, lokasi, bahan baku dan lain-lain. Untuk menyelesaikan permasalah tersebut peneliti terdorong untuk melakukan pengembangan Aplikasi yang dapat membantu menentukan prioritas UKM yang sesuai dengan kondisi pelaku usaha. Pada penelitian ini akan digunakan metode Analitycal Hierarchy Process (AHP), untuk pengambilan keputusannya. Metode AHP dipilih karena mampu menyeleksi dan menentukan alternatif terbaik dari sejumlah alternatif yang tersedia. Dalam hal ini alternatif yang dimaksudkan yaitu UKM terbaik yang dapat dipilih oleh pelaku usaha sesuai dengan kriteria yang telah ditentukan. Penelitian dilakukan dengan mencari nilai bobot untuk setiap atribut, kemudian dilakukan proses perankingan yang akan menentukan alternatif yang optimal, yaitu UKM. Aplikasi Sistem Pendukung Keputusan yang dikembangkan berbasis Android, dimana pengguna akan mudah menggunakannya sewaktu-waktu jika terjadi perubahan bobot pada kriteria atau intensitas. Hasil akhir menunjukkan bahwa metode AHP berhasil diterapkan pada Aplikasi Penentuan Prioritas Pengembangan UKM.

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