scholarly journals Assisting Users in Decisions Using Fuzzy Ontologies: Application in the Wine Market

Mathematics ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 1724
Author(s):  
Juan Antonio Morente-Molinera ◽  
Francisco Javier Cabrerizo ◽  
Sergio Alonso ◽  
Ignacio Javier Pérez ◽  
Enrique Herrera-Viedma
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Communication System ◽  
Computational Tools ◽  
Fuzzy Ontology ◽  
Imprecise Information ◽  
Different Types ◽  
Wine Market

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.

scholarly journals Dynamic Scheduling and Communication System to Manage Last Mile Handovers

Logistics ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 13
Author(s):  
Vijay Paidi ◽  
Roger G. Nyberg ◽  
Johan Håkansson
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Real Time ◽  
Support System ◽  
Communication System ◽  
Dynamic Scheduling ◽  
Multiparty Communication ◽  
Operational Costs ◽  
Last Mile ◽  
Business Opportunities

Last mile handover is the most problematic phase in the delivery process, while real-time communication and dynamic scheduling are major problem areas associated with attended last mile handovers. These problem areas need to be addressed holistically to facilitate efficient last mile handovers. The aim of this paper is to report the design and functionalities of a decision-support system which holistically addresses these problem areas. The functionalities of decision-support system which addresses dynamic scheduling and real-time communication problem areas are discussed using case studies. We conclude that a holistic decision-support system with multiparty communication among the stakeholders facilitates improving customer satisfaction, business opportunities and reducing operational costs for logistics companies.

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

2016 ◽  
Vol 81 ◽  
pp. 66-75 ◽  
Author(s):  
J.A. Morente-Molinera ◽  
R. Wikström ◽  
E. Herrera-Viedma ◽  
C. Carlsson
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Knowledge Mobilization ◽  
Fuzzy Ontology

scholarly journals IoT and Its Impact on the Electronics Market: A Powerful Decision Support System for Helping Customers in Choosing the Best Product

Symmetry ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 611 ◽  
Author(s):  
Mohamed Abdel-Basset ◽  
Mai Mohamed ◽  
Victor Chang ◽  
Florentin Smarandache
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
The Internet ◽  
Smart System ◽  
Conflicting Information ◽  
Marketing Process ◽  
Different Types ◽  
Iot Devices ◽  
The Internet Of Things

Many companies have observed the significant benefits they can get via using internet. Since then, large companies have been able to develop business transactions with customers at anytime, anywhere, and in relation to anything, so that we now need a more comprehensive concept than the internet. This concept is the Internet of Things (IoT). IoT will influence decision making style in various phases of selling, buying and marketing process. Therefore, every individual and company should know precisely what IoT is, and how and why they should incorporate it in their operations. This motivated us to propose a smart system based on IoT to help companies and marketers make a powerful marketing strategy via utilizing obtained data from IoT devices. Not only this, but the proposed system can also solve the problems which face companies and customers in online shopping. Since there are different types of the same product, and also different criteria for purchasing which can be different between individuals, customers will need a decision support system to recommend them with the best selection. This motivates us to also propose a neutrsophic technique to deal with unclear and conflicting information which exists usually in the purchasing process. Therefore, the smart system and neutrosophic technique is considered as a comprehensive system which links between customers, companies, marketers to achieve satisfaction for each of them.

scholarly journals Decision support system using FIS Mamdani for tire pressure determination

2020 ◽  
Vol 9 (1) ◽  
pp. 56-63
Author(s):  
Rusliyawati Rusliyawati ◽  
Agus Wantoro
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Load Capacity ◽  
Operating Costs ◽  
Steering Wheel ◽  
Tire Pressure ◽  
Different Types ◽  
Wheeled Vehicles ◽  
Consumption Waste

Tire pressure is significant in driving; it should not be less or more. Inadequate air pressure can damage the rim, such as unstable circles, rupture, uneven tire tread, and fuel consumption waste. Excessive tire pressure causes the steering wheel to be more challenging, and the steering wheel vibrates more; besides causing discomfort when driving. This study aims to develop a FIS Mamdani model to determine the tire pressure. The model was developed using FIS Mamdani so that the tire pressure size will be adjusted to the load capacity and other factors. This research's benefits are expected to reduce the rate of accidents due to tire bursts, damaged wheels, and tires to be more durable so that fuel is more efficient and can reduce vehicle operating costs, which ultimately impact increasing company revenues. This model can also be used to calculate tire pressure on two-wheeled vehicles and different types of cars.

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

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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