Deep Ranking Analysis by Power Eigenvectors (DRAPE): A Study on the Human, Environmental and Economic Wellbeing of 154 Countries

2021 ◽  
pp. 267-289
Author(s):  
Cecile Valsecchi ◽  
Roberto Todeschini
Keyword(s):  
Ranking Analysis

scholarly journals Building Tag-Aware Groups for Music High-Order Ranking and Topic Discovery

2010 ◽  
Vol 1 (3) ◽  
pp. 1-18 ◽  
Author(s):  
Dimitrios Rafailidis ◽  
Alexandros Nanopoulos ◽  
Yannis Manolopoulos
Keyword(s):  
Real Data ◽  
Social Tagging ◽  
Topic Discovery ◽  
Retrieval Systems ◽  
The Social ◽  
Information Retrieval Systems ◽  
Aware Group ◽  
User Groups ◽  
Music Information ◽  
Ranking Analysis

In popular music information retrieval systems, users have the opportunity to tag musical objects to express their personal preferences, thus providing valuable insights about the formulation of user groups/communities. In this article, the authors focus on the analysis of social tagging data to reveal coherent groups characterized by their users, tags and music objects (e.g., songs and artists), which allows for the expression of discovered groups in a multi-aspect way. For each group, this study reveals the most prominent users, tags, and music objects using a generalization of the popular web-ranking concept in the social data domain. Experimenting with real data, the authors’ results show that each Tag-Aware group corresponds to a specific music topic, and additionally, a three way ranking analysis is performed inside each group. Building Tag-Aware groups is crucial to offer ways to add structure in the unstructured nature of tags.

scholarly journals Investigating the Extent to Which Personality Traits and Demographics Affect Job Satisfaction

2016 ◽  
Vol 4 (1) ◽  
pp. 70 ◽  
Author(s):  
Muhammad Sajid Saeed
Keyword(s):  
Job Satisfaction ◽  
Personality Traits ◽  
Negative Relationship ◽  
Demographic Variables ◽  
The Other ◽  
Retail Sector ◽  
Primary Concern ◽  
Different Types ◽  
The Uk ◽  
Ranking Analysis

The primary concern of this paper is to investigatethe extent to which three variables (i.e. personality traits, demographic variables, and job satisfaction) are interrelated with each other and what effect they have on each other in relation to the UK retail sector. The four different types of retail stores i.e. Tesco, Primark, Ikea and WH Smith were selected for survey purpose to minimise the class biasness.Total 300 close-ended questionnaires were distributed and 220 responses were obtained.The findings reveal that ‘Neuroticism’ is negatively associated with job satisfaction as well as with ‘Extraversion’. However, it is positively correlated with other three personality groups including ‘Agreeableness’, ‘Conscientious’, and ‘Openness’. On the other hand, ‘Openness to experience’ has a negative relationship with ‘Agreeableness’.It is also found from the ranking analysis that employees with ‘Agreeableness’ and ‘Conscientiousness’ personalities are more successful in their career and consequently they are more satisfied with their jobs.

scholarly journals A comparative study of web ranking analysis based on I-ACO and R-PSO

2018 ◽  
Vol 5 (41) ◽  
pp. 55-61
Author(s):  
Vinamrata Singh ◽  
Kailash Patidar ◽  
Rajendra Prasad Sahu
Keyword(s):  
Comparative Study ◽  
Ranking Analysis

Making Sustainable Energy Communities a Reality

2017 ◽  
pp. 324-362
Author(s):  
Vangelis Marinakis
Keyword(s):  
Renewable Energy ◽  
Sustainable Energy ◽  
Methodological Approach ◽  
Emissions Inventory ◽  
Rational Use ◽  
Decision Support Framework ◽  
Alternative Scenarios ◽  
Regional Authorities ◽  
The City ◽  
Ranking Analysis

The aim of this chapter is to present a decision support framework for local energy planning, entitled “MPC+ (Map - Plan - Choose - Check)”. The proposed framework incorporates the development of the baseline emissions inventory, the identification and modelling of renewable energy and rational use of energy actions, as well as the creation of alternative Scenarios of Actions at the city level. The evaluation of alternative Scenarios is based on a multi-criteria ordinal regression approach. In addition, an extreme ranking analysis method is used, in order to examine robustness problems, estimating the best and worst possible ranking position of each Scenario. The MPC+ framework contributes to the selection of the most promising Scenario of renewable energy and rational use of energy actions, supporting the local - regional authorities in creating Sustainable Energy Communities (SEC). Finally, the “Methodological Approach for Monitoring SEC Targets” is introduced.

Fuzzy Outranking Methods Including Fuzzy PROMETHEE

2011 ◽  
pp. 784-804
Author(s):  
Malcolm Beynon
Keyword(s):  
Public Services ◽  
Graphical Representation ◽  
Real Life ◽  
Data Retrieval ◽  
Preference Ranking ◽  
Outranking Methods ◽  
Ranking Analysis ◽  
Fuzzy Promethee

Outranking methods are a family of techniques concerned with ranking the preference for alternatives based on the criteria values that describe them. The breadth of applications taking inference from such preference ranking analysis includes the areas of business, health, environment, marketing, and public services. In the context of databases, the ranking issue is closely associated with data retrieval, including the ranking of matches to queries. This chapter describes the rudiments of fuzzy outranking methods, with particular attention to one such approach, namely fuzzy PROMETHEE, compounded further with the different structures of defined fuzziness of the criteria values also considered. Alternative fuzzy PROMETHEE approaches are described, with one used in two real-life applications. The results presented, with emphasis on their graphical representation, offer insights into the appropriate application of such fuzzy outranking methods.

scholarly journals Characterization of the Key Aroma Compounds in Traditional Hunan Smoke-Cured Pork Leg (Larou, THSL) by Aroma Extract Dilution Analysis (AEDA), Odor Activity Value (OAV), and Sensory Evaluation Experiments

Foods ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 413
Author(s):  
Dandan Pu ◽  
Yuyu Zhang ◽  
Huiying Zhang ◽  
Baoguo Sun ◽  
Fazheng Ren ◽  
...  
Keyword(s):  
Active Regions ◽  
Aroma Compounds ◽  
Aroma Extract Dilution Analysis ◽  
Sensory Qualities ◽  
Key Odorants ◽  
Potent Odorants ◽  
Odor Activity Value ◽  
First Time ◽  
Ranking Analysis

The key aroma compounds in smoke-cured pork leg were characterized by gas chromatography–olfactometry coupled with aroma extract dilution analysis (GC–O/AEDA), odor activity value (OAV), recombination modeling, and omission tests. Ranking analysis showed that pork leg smoke-cured for 18 days had the best sensory qualities, with strong meaty, smoky, roasty, woody, and greasy attributes. Thirty-nine aroma-active regions with flavor dilution (FD) factors ranging from 9 to 6561 were detected. Overall, 3-ethylphenol had the highest FD factor of 6561, followed by 2,6-dimethoxyphenol, 3,4-dimethylphenol, 4-ethylguaiacol, 4-methylguaiacol, 3-methylphenol, and 2-acetyl-1-pyrroline, with FD ≥243. Among 39 aroma compounds, 27 compounds with OAVs ≥1 and were potent odorants. A similarity of 90.73% between the recombination model and traditional Hunan Smoke-cured Pork Leg (THSL) sample was obtained. Omission tests further confirmed that (E)-2-nonenal, 2-methoxy-4-vinylphenol, guaiacol, 3-ethylphenol, 2,6-dimethylphenol, 2-acetyl-1-pyrroline, and methional were key odorants in smoke-cured pork leg. Additionally, 2-acetyl-1-pyrroline (38.88 μg/kg), which contributes to a roasty aroma, was characterized here as a key odorant of smoke-cured pork leg for the first time.

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