A fuzzy ontology-based approach for tool-supported decision making in architectural design

Noia, Tommaso Di; Mongiello, Marina; Nocera, Francesco; Straccia, Umberto

doi:10.1007/s10115-018-1182-1

Cited by 30 publications

(16 citation statements)

References 45 publications

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“…An architecture for the IoT process management consists of seven core components which can be used to describe the core components of an ECM. These components of an EC architecture include; goal manager, adaptation manager, context manager, enactment engine, business rules, domain ontology and system KB [61,[63][64][65]. The responsibilities of these components are explained subsequently.…”

Section: Architectural Description Of An Ec Process Managementmentioning

confidence: 99%

Enabling Emergent Configurations in the Industrial Internet of Things for Oil and Gas Explorations: A Survey

2020

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Several heterogeneous, intelligent, and distributed devices can be connected to interact with one another over the Internet in what is termed internet of things (IoT). Also, the concept of IoT can be exploited in the industrial environment for enhancing the production of goods and services and for mitigating the risk of disaster occurrences. This application of IoT for enhancing industrial production is known as industrial IoT (IIoT). Emergent configuration (EC) is a technology that can be adopted to enhance the operation and collaboration of IoT connected devices in order to improve the efficiency of the connected IoT systems for maximum user satisfaction. To meet user goals, the connected devices are required to cooperate with one another in an adaptive, interoperable, and homogeneous manner. In this paper, a survey of the concept of IoT is presented in addition to a review of IIoT systems. The application of ubiquitous computing-aided software define networking (SDN)-based EC architecture is propounded for enhancing the throughput of oil and gas production in the maritime ecosystems by managing the exploration process especially in emergency situations that involve anthropogenic oil and gas spillages.

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Section: Architectural Description Of An Ec Process Managementmentioning

confidence: 99%

Enabling Emergent Configurations in the Industrial Internet of Things for Oil and Gas Explorations: A Survey

2020

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“…In [34], authors use FOs to manage fuzzy roles in risk-based environments. In [35], a DSS that uses a fuzzy OWL 2 ontology is presented. In [36], description logics are used in order to define the multi-criteria group decision making problem.…”

Section: Fuzzy Ontologiesmentioning

confidence: 99%

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

et al. 2020

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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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“…• Add categories hardware-software requirements and requirements for support functioning from the proposed classification scheme. Di Noia et al [26] elaborate the application of the fuzzy logic to non-functional requests. The proposed classification scheme provides the opportunity for the selection of several requests for one functionality.…”

Section: Integrationmentioning

confidence: 99%

“…BABOK classification scheme of requests incorporates the following requests: business, stakeholder, product (functional and non‐functional) and transitional requirements. The authors propose the following integration of request categories into the BABOK classification scheme: Business category expands with business and organisational requests from the proposed classification scheme. A sub‐category of non‐functional requests of the solutions requirement category expands with the category security requirements and requests from the sub‐category general PKI services and components of the component PKI Components and services requirement. Add categories hardware–software requirements and requirements for support functioning from the proposed classification scheme. Di Noia et al [26] elaborate the application of the fuzzy logic to non‐functional requests. The proposed classification scheme provides the opportunity for the selection of several requests for one functionality.…”

Section: Application Of the Proposed Classification Scheme And Its mentioning

confidence: 99%

Classification as an approach to public key infrastructure requirements analysis

Prodanovic¹,

Vulić

2019

IET softw.

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Classification schemes and taxonomy of request have focused only on business or software requirements defined by general non-functional requests. Public key infrastructure (PKI), as a complex system, requires special attention in the process of identification and definition of requests in all parts of the system. Requests efficiently identified and defined are the basis for successful PKI development and implementation. This study proposes a new classification scheme of requirements that enable effective identification of PKI requests in all system development life cycle phases. The proposed classification scheme has been designed in a way that can be used both by organisations just introducing a PKI system in their business operations, as well as organisations developing and implementing the PKI. Although there are more classification schemes and taxonomy of requests, the proposed classification scheme is the optimum solution for identification and definition of PKI system requests, as well as a good basis for testing, verification and validation of the PKI final product.

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A fuzzy ontology-based approach for tool-supported decision making in architectural design

Cited by 30 publications

References 45 publications

Enabling Emergent Configurations in the Industrial Internet of Things for Oil and Gas Explorations: A Survey

Enabling Emergent Configurations in the Industrial Internet of Things for Oil and Gas Explorations: A Survey

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

Classification as an approach to public key infrastructure requirements analysis

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