scholarly journals Towards Semantic Sensor Data: An Ontology Approach

Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1193 ◽  
Author(s):  
Jin Liu ◽  
Yunhui Li ◽  
Xiaohu Tian ◽  
Arun Sangaiah ◽  
Jin Wang
Keyword(s):  
Domain Ontology ◽  
Sensor Data ◽  
Analytic Hierarchy ◽  
Semantic Maps ◽  
Similarity Calculation ◽  
Multiple Levels ◽  
Domain Ontologies ◽  
Hierarchy Process ◽  
The Relationship ◽  
Concept Pairs

In order to optimize intelligent applications driven by various sensors, it is vital to properly interpret and reuse sensor data from different domains. The construction of semantic maps which illustrate the relationship between heterogeneous domain ontologies plays an important role in knowledge reuse. However, most mapping methods in the literature use the literal meaning of each concept and instance in the ontology to obtain semantic similarity. This is especially the case for domain ontologies which are built for applications with sensor data. At the instance level, there is seldom work to utilize data of the sensor instances when constructing the ontologies’ mapping relationship. To alleviate this problem, in this paper, we propose a novel mechanism to achieve the association between sensor data and domain ontology. In our approach, we first classify the sensor data by making them as SSN (Semantic Sensor Network) ontology instances, and map the corresponding instances to the concepts in the domain ontology. Secondly, a multi-strategy similarity calculation method is used to evaluate the similarity of the concept pairs between the domain ontologies at multiple levels. Finally, the set of concept pairs with a high similarity is selected by the analytic hierarchy process to construct the mapping relationship between the domain ontologies, and then the correlation between sensor data and domain ontologies are constructed. Using the method presented in this paper, we perform sensor data correlation experiments with a simulator for a real world scenario. By comparison to other methods, the experimental results confirm the effectiveness of the proposed approach.

scholarly journals An Empirical Investigation into Physician Preferences in Drug Prescription: An Integrated Methodology of AHP and QFD

2016 ◽  
Vol 8 (5) ◽  
pp. 81
Author(s):  
Farzana Elahi ◽  
Shamsad Ahmed ◽  
Mahbubul Haque ◽  
Nazreen Chowdhury
Keyword(s):  
Quality Function Deployment ◽  
Drug Prescription ◽  
Future Research ◽  
Relationship Matrix ◽  
Analytic Hierarchy ◽  
Expert Choice ◽  
Integrated Methodology ◽  
Hierarchy Process ◽  
The Relationship

<p class="Default">In order to sustain in a competitive market like pharmaceutical in Bangladesh, it is important to get an insight into physicians’ preferences in prescribing the drugs. The aim of this work is to investigate and address the physician requirements through an integrated methodology of Analytic Hierarchy Process (AHP) and Quality Function Deployment (QFD). In this research, an expert panel has been interviewed to recognize the criteria affecting physicians’ decisions. The results from AHP derived through Expert Choice software demonstrate that from the viewpoint of physicians, out of the five criteria, quality of product offering is ranked highest in prescribing the drugs followed by the reputation of the company, relationship enjoyed with the company, etc. As for the technical aspects, derived from the relationship matrix of AHP and QFD, out of the sixteen, brand image is ranked first followed by the quality of raw and packaging materials, skilled production personnel etc. The contribution of this research is expected to enable the managers in the pharmaceutical companies to recognize the factors that influence physicians in prescribing drugs for the patients and help them find out challenging items with preeminent alternatives. Few suggestions for future research are also put forward. <strong></strong></p>

Ratio and Difference Estimation in Multi-Criteria Decision Analysis

1993 ◽  
Author(s):  
F. A. Lootsma
Keyword(s):  
Analytic Hierarchy Process ◽  
Cross Validation ◽  
Pairwise Comparison ◽  
Comparison Method ◽  
Analytic Hierarchy ◽  
Basic Assumptions ◽  
Common Basis ◽  
Hierarchy Process ◽  
The Relationship ◽  
Relative Preferences

Abstract Since decisions are invariably made within a given context, we model relative preferences as ratios of increments or decrements in an interval on the axis of desirability. Next, we sort the ratio magnitudes into a small number of categories, represented by numerical values on a geometric scale. We explain why the Analytic Hierarchy Process (AHP), typically based on a pairwise-comparison method, is concerned with category judgement of ratio magnitudes, whereas the Simple Multi-Attribute Rating Technique (SMART) essentially uses the orders of magnitude of these ratios. This provides a common basis for the analysis of the methods in question and for a cross-validation of their results. The present paper summarizes the basic assumptions and the relationship between the two methods.

Feasibility Study on Marketing Research Using Eye Movement: An Investigation of Image Presentation Using an “Eye Camera” and Data Processing

2005 ◽  
Vol 9 (5) ◽  
pp. 440-452
Author(s):  
Shin'ya Nagasawa ◽  
◽  
Sora Yim ◽  
Hitoshi Hongo ◽  
◽  
...  
Keyword(s):  
Eye Movement ◽  
Marketing Research ◽  
Poor Correlation ◽  
Purchasing Behavior ◽  
Analytic Hierarchy ◽  
Physiological Measurement ◽  
Behavioral Level ◽  
Movement Data ◽  
Hierarchy Process ◽  
The Relationship

We studied the relationship between purchasing behavior and physiological measurement using an eye camera, including the correlation of physiological measurement based on an analysis of eye movement data at the behavioral level (close to intention) using conjoint analysis and with the attitude level using the analytic hierarchy process. Results showed poor correlation between data on eye movement, i.e., physiological reaction to stimulus, and the attitude level but a fairly good correlation between data on eye movement and the behavioral level.

Green Construction Partner Selection

2012 ◽  
Vol 260-261 ◽  
pp. 290-295
Author(s):  
Han Bing Tang
Keyword(s):  
Evaluation System ◽  
Influence Factors ◽  
Green Building ◽  
Analytic Hierarchy ◽  
Green Construction ◽  
Strategic Cooperation ◽  
Cooperative Partner ◽  
Relationship Of ◽  
Hierarchy Process ◽  
The Relationship

Based on the analysis of the current green real estate trends, this article combines the necessary link of the green building and the green construction to improve the relationship of the green construction partners. While, according the feature of the green construction and the necessary of cooperation, we find out the green construction strategic cooperation influence factors and establish the green construction cooperative partner evaluation system. Fuzzy analytic hierarchy process is applied to the construction unit to select the adopt one.

Research on Constituent Elements of Landscape in Residential Area Based on Image Analysis — A Case Study of Hefei Golden Pond Housing

2013 ◽  
Vol 409-410 ◽  
pp. 724-729
Author(s):  
Xiao Guang Shan ◽  
Zao Li
Keyword(s):  
Image Analysis ◽  
Quantitative Methods ◽  
Residential Area ◽  
Analytic Hierarchy ◽  
Landscape Elements ◽  
Constituent Elements ◽  
Hierarchy Process ◽  
The Relationship ◽  
Dualistic Approach

This paper researches and evaluates the landscape in Hefei Golden Pond Residential Area from the aesthetical perspective, makes an inductive analysis of landscape elements in this residential area through using the image dualistic approach, and defines the relationship between landscape elements and public aesthetic preference in combination with the quantitative methods such as Delphi and Analytic Hierarchy Process.

scholarly journals Managing Sewerage Networks Using both Failure Modes, Effects and Criticality Analysis (FMECA) and Analytic Hierarchy Process (AHP) methods

2020 ◽  
Author(s):  
Mohamed Benbachir ◽  
Marzouk Cherrared ◽  
Djaouida Chenaf
Keyword(s):  
Failure Modes ◽  
Analytic Hierarchy ◽  
Efficient Management ◽  
Overall Performance ◽  
Structural Failures ◽  
Criticality Analysis ◽  
Hierarchy Process ◽  
The Relationship ◽  
The City

This paper proposes a methodology for managing complex sewerage networks based on the concomitant use of two performance evaluation methods namely (1): the Failure Modes, Effects and Criticality Analysis (FMECA) and (2) the Analytical Hierarchy Process (AHP). The FMECA is used to determine the risks of structural failures making it possible to establish a methodology for managing these failures. The AHP is used to check the relationship consistency between the performance indicators allowing the determination of the overall performance (OP). This proposed methodology was also utilized for the urban sewerage network of Oued-Kniss in the city of Algiers, Algeria, as part of the efforts engaged for sustainable and efficient management.

Understanding the relationship between university characteristics and prestige

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Başak Topaler ◽  
Nur Ayvaz-Çavdaroğlu
Keyword(s):  
Higher Education ◽  
Analytic Hierarchy ◽  
Public And Private ◽  
Content Type ◽  
Stakeholder Groups ◽  
Turkish Higher Education ◽  
Prestigious Institution ◽  
Context Specific ◽  
Hierarchy Process ◽  
The Relationship

Purpose Being a prestigious institution depends on gaining respect in the eyes of various stakeholders with diverse expectations. Existing research is silent on how university characteristics affect judgments of prestige and, therefore, presents an incomplete picture of prestige dynamics in higher education. This paper aims to fill this gap in the literature by empirically examining the stakeholders’ evaluation of university characteristics in terms of prestige value. Design/methodology/approach The entire population of universities (public and private) in Turkish higher education constitutes the sample of the study. The analytic hierarchy process technique is applied to ascertain how stakeholders prioritize university characteristics in terms of prestige value, and regression analysis is used to determine the effects of these characteristics on university selectivity. Findings The findings suggest a novel conceptual model of university prestige, which establishes its multilayered and fragmented nature. Accordingly, universities may be subject to multiple prestige hierarchies based on universal or context-specific criteria, in the eyes of various stakeholders, and based on different markers of success. Research limitations/implications The empirical analyses are limited to the stakeholder groups that are key to university outcomes in Turkish higher education, and to selectivity in admissions as the only visible marker of success in this context. Originality/value The study enhances existing literature that posits that universities are subject to a single prestige hierarchy based on common metrics of performance. It illustrates the uneven landscape in which university prestige evolves by developing a wider and deeper focus on university characteristics.

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