scholarly journals Stability of local weights of decision alternatives on basis of pairwise comparison method

2016 ◽  
Vol 0 (4) ◽  
pp. 14-22 ◽  
Author(s):  
Nadezhda I. Nedashkovskaya
Keyword(s):  
Pairwise Comparison ◽  
Comparison Method ◽  
Decision Alternatives

Model and Method for Contributor’s Quality Assessment in Community Image Tagging Systems

2018 ◽  
pp. 45-51
Author(s):  
A. V. Ponomarev
Keyword(s):  
Large Scale ◽  
Wide Spectrum ◽  
Preference Relation ◽  
Pairwise Comparison ◽  
Ground Truth ◽  
Comparison Method ◽  
Characteristic Matrix ◽  
Image Tagging ◽  
Proposed Model

Introduction: Large-scale human-computer systems involving people of various skills and motivation into the information processing process are currently used in a wide spectrum of applications. An acute problem in such systems is assessing the expected quality of each contributor; for example, in order to penalize incompetent or inaccurate ones and to promote diligent ones.Purpose: To develop a method of assessing the expected contributor’s quality in community tagging systems. This method should only use generally unreliable and incomplete information provided by contributors (with ground truth tags unknown).Results:A mathematical model is proposed for community image tagging (including the model of a contributor), along with a method of assessing the expected contributor’s quality. The method is based on comparing tag sets provided by different contributors for the same images, being a modification of pairwise comparison method with preference relation replaced by a special domination characteristic. Expected contributors’ quality is evaluated as a positive eigenvector of a pairwise domination characteristic matrix. Community tagging simulation has confirmed that the proposed method allows you to adequately estimate the expected quality of community tagging system contributors (provided that the contributors' behavior fits the proposed model).Practical relevance: The obtained results can be used in the development of systems based on coordinated efforts of community (primarily, community tagging systems). 

scholarly journals Sustainable Business Model Innovations in the Value Uncaptured Manufacturing Industry: Fitting Gains—Gain Creators

2021 ◽  
Vol 13 (10) ◽  
pp. 5647
Author(s):  
Burhan ◽  
Udisubakti Ciptomulyono ◽  
Moses Singgih ◽  
Imam Baihaqi
Keyword(s):  
Business Model ◽  
Environmental Quality ◽  
Manufacturing Industry ◽  
Design Method ◽  
Pairwise Comparison ◽  
Comparison Method ◽  
Value Proposition ◽  
Sustainable Business ◽  
Sustainability Index ◽  
Index Matrix

Increased manufacturing activity has an impact on environmental quality degradation. Waste generated from manufacturing activities is one of the causes. Previous studies have referred to this waste as value uncaptured. Minimizing value uncaptured is a solution to improve environmental quality. This study aims to reduce value uncaptured by converting it into value captured. This process requires a value proposition design approach because of its advantages. One of the advantages of this approach is that it can improve existing or future products/services. To do so, this research uses a case study of a furniture company. To implement a converting process, a sustainable business model is proposed to solve this problem. This business model combines several methods: value proposition design, house of value and the product sustainability index matrix. Recently, the existing value proposition problem-solving has been using the value proposition design method. This research proposed implementing a house of value to replace the fitting process. The questionnaire is developed to obtain various value uncaptured in the company. To the weight of the value uncaptured, this research utilized the pairwise comparison method. Then, the weights could represent the importance of jobs. Based on the highest weight of these jobs, the alternative gains would be selected. To provide the weight of the gain creators and value captured, the house of value method is developed. Referring to three pillars of sustainability, the value captured should be considered. This research proposed implementing a product sustainability index which in turn produces eco-friendly products. This study produces “eco-friendly products” as sustainability value captured. The sustainability business model could be an alternative policy to minimize the existence of value uncaptured.

Crowdsourcing the Evaluation of Design Concepts With Empathic Priming

2016 ◽  
Author(s):  
Michelle A. Pang ◽  
Carolyn C. Seepersad
Keyword(s):  
Rating Scales ◽  
Pairwise Comparison ◽  
Comparison Method ◽  
Ease Of Use ◽  
Primary Study ◽  
Design Concepts ◽  
The Impact ◽  
Further Development ◽  
Similar Evaluation ◽  
Insight Into

The evaluation of design concepts is a time consuming and resource intensive process. Crowdsourcing evaluations has been examined in previous work as a means to reduce the need for expert raters, while achieving similar evaluation results. This paper examines the impact of empathically priming novice raters on their evaluation of alternative design concepts. The rating system is based on a pairwise comparison method that requires minimal training of novice raters. In a pilot study the pairwise method for crowdsourcing evaluations is compared with crowdsourced evaluations using non-pairwise rating scales and with the evaluations of expert raters. The primary study incorporates written and empathic priming strategies to determine their impact on novice raters’ evaluation of concepts. Raters are asked to consider several criteria, including novelty, feasibility, clarity (of the concept), usefulness, ease of use, and overall worthiness of further development. Results offer insight into the criteria that are most relevant to novice raters and whether empathic priming has a significant effect on those evaluations.

scholarly journals Insights on the impact of telecommunication companies on the environment

2020 ◽  
Vol 14 (1) ◽  
pp. 202-213
Author(s):  
Ioana-Miruna Tătaru ◽  
Elena Fleacă ◽  
Bogdan Fleacă
Keyword(s):  
Energy Consumption ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Pairwise Comparison ◽  
Comparison Method ◽  
Organizational Processes ◽  
Gas Emissions ◽  
Telecommunication Company ◽  
Telecommunication Companies ◽  
The Impact

AbstractTo perform their business operations, telecommunication companies need to consume energy. This paper aims to analyze and compare the energy consumption and their greenhouse gas emissions for there of the biggest telecommunication companies: Vodafone, Orange and Telekom. Although the scientific literature proposed some analysis on the environmental measures that the telecommunication companies have to take, there is a shortage of researchers focused on GRI reporting data and the pairwise comparison method. The authors compared these telecommunication companies’ emissions under the following criteria: energy consumption (GRI 302-1), scope 1 (GRI 305-1), scope 2 (GRI 305-2) and scope 3 (GRI 305-3) greenhouse gas emissions, reduction of emissions (GRI 305-5), using the pairwise comparison method. To reduce their emissions, companies developed a sustainability strategy. This paper will further emphasize what are the plans to reduce emissions for the company which, following the analysis, pollutes the most. To provide an overview of the future of the company which, by the analysis, pollutes the most, the authors have identified and analyzed what are the main actions that the company should take to reduce their impact on the environment. To do so, the authors firstly analyze the causes of the pollution produced by the telecommunication company using Ishikawa diagram. Then, it identifies what are the main organizational processes that can be improved using APQC standardization, to show that the improvement can be made if the organization adjusts their organizational processes. This paper is an enhancement to the studies form the field because it provides a comparative analysis on three of the most competitive telecommunication companies in the world, uses GRI criteria and pairwise comparison method and gives an overview on the next steps for the telecommunication company to reduce their greenhouse gas emissions.

scholarly journals GIS based Flood Vulnerability Studies for Ife Central Local Government Area, Osun State, Nigeria

2020 ◽  
Vol 4 (1) ◽  
pp. 160-171
Author(s):  
V.A. Ijaware
Keyword(s):  
Local Government ◽  
Flood Hazard ◽  
Pairwise Comparison ◽  
Tropical Rainfall Measuring Mission ◽  
Satellite System ◽  
Comparison Method ◽  
Local Government Area ◽  
Landsat 8 ◽  
Flood Hazards ◽  
Flood Vulnerability

Flood has negatively affected Ife Central Local Government Area of Osun State, Nigeria. This work is aimed at mapping the vulnerability of the area to flood. Its objectives addressed the ranking of various natural and artificial factors causing flood, the determination and delineation of vulnerability to flood in the study area. Using remote sensing and GIS techniques, coordinates of flooded sites were acquired with Global Navigation Satellite System receiver; Landsat 8 data were acquired from the USGS website. To map land use, elevation data were acquired from the Shuttle Radar Topographic Mission Digital Elevation Models, soil data was obtained from the Nigerian Geological Survey website, and rainfall data was acquired from Tropical Rainfall Measuring Mission satellit. Using Pairwise Comparison, the various weights of factors constituting flood in the area were acquired. Weighted Linear Combination and Analytical Hierarchical Process was used in producing the flood hazard and flood vulnerability maps. ArcGIS 10.2 Software was used in spatial and attribute data acquisition, processing, and information presentation. The Pairwise Comparison method adopted was validated and observed to have a consistency ration of 0.003. Results obtained show that 9.2% of the study area is highly prone to flood hazards 20.4% is prone to flood hazard and 44.3% is moderately prone to flood hazard. The method adopted correctly identifies all existing flood incidence areas within the flood- prone areas in the hazard map. The maps produced will serve as an effective tool to aid the prevention and mitigation of flood disaster in the flood-prone area.

Environmental, Social, and Economic Indicators of Urban Land Use Conflicts

2018 ◽  
pp. 285-308
Author(s):  
Ufuk Fatih Kucukali ◽  
Lütfiye Kuşak
Keyword(s):  
Land Use ◽  
Social Indicators ◽  
Pairwise Comparison ◽  
Comparison Method ◽  
Environmental Indicators ◽  
Urban Land Use ◽  
Economic Indicators ◽  
Socioeconomic Indicators ◽  
Analytic Hierarchy ◽  
Land Use Conflicts

Due to the recent increase in population, urbanization in developing countries progressed to the outer fringes of the city and resulted in ecological and social problems. Especially land use conflicts resulting in such phenomena are characterized by pressures on the environment caused by ever-increasing anthropogenic factors subject to unplanned settlement, notably in heavily populated metropolitan areas. Despite the fact that Turkey is one of the countries, which this conflict intensively occurred. Studies on compliance of land use in Turkey with the zoning plans mainly consider socioeconomic indicators. This, in return, raises concerns over applicability and the rationality of the plans created. Three main indicators: environmental indicators, social indicators and economic indicators were selected and then estimated to retrieve the relative weights of the indicators was determined using Analytic Hierarchy Process (AHP) pairwise comparison method. Weighted linear combination (WLC) was carried out in the study.

scholarly journals Convex hulls in hamming space enable efficient search for similarity and clustering of genomic sequences

2020 ◽  
Vol 21 (S18) ◽  
Author(s):  
David S. Campo ◽  
Yury Khudyakov
Keyword(s):  
Convex Hull ◽  
Categorical Data ◽  
Clustering Algorithm ◽  
Hamming Distance ◽  
Pairwise Comparison ◽  
Comparison Method ◽  
Convex Hulls ◽  
Large Set ◽  
Clustering Methods ◽  
Hamming Space

Abstract Background In molecular epidemiology, comparison of intra-host viral variants among infected persons is frequently used for tracing transmissions in human population and detecting viral infection outbreaks. Application of Ultra-Deep Sequencing (UDS) immensely increases the sensitivity of transmission detection but brings considerable computational challenges when comparing all pairs of sequences. We developed a new population comparison method based on convex hulls in hamming space. We applied this method to a large set of UDS samples obtained from unrelated cases infected with hepatitis C virus (HCV) and compared its performance with three previously published methods. Results The convex hull in hamming space is a data structure that provides information on: (1) average hamming distance within the set, (2) average hamming distance between two sets; (3) closeness centrality of each sequence; and (4) lower and upper bound of all the pairwise distances among the members of two sets. This filtering strategy rapidly and correctly removes 96.2% of all pairwise HCV sample comparisons, outperforming all previous methods. The convex hull distance (CHD) algorithm showed variable performance depending on sequence heterogeneity of the studied populations in real and simulated datasets, suggesting the possibility of using clustering methods to improve the performance. To address this issue, we developed a new clustering algorithm, k-hulls, that reduces heterogeneity of the convex hull. This efficient algorithm is an extension of the k-means algorithm and can be used with any type of categorical data. It is 6.8-times more accurate than k-mode, a previously developed clustering algorithm for categorical data. Conclusions CHD is a fast and efficient filtering strategy for massively reducing the computational burden of pairwise comparison among large samples of sequences, and thus, aiding the calculation of transmission links among infected individuals using threshold-based methods. In addition, the convex hull efficiently obtains important summary metrics for intra-host viral populations.

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