scholarly journals Use of the Dominance-Based Rough Set Approach as a Decision Aid Tool for the Selection of Development Projects in Northern Quebec

2014 ◽  
Vol 05 (07) ◽  
pp. 723-741 ◽  
Author(s):  
Jean-Charles Marin ◽  
Kazimierz Zaras ◽  
Bryan Boudreau-Trudel
Keyword(s):  
Rough Set ◽  
Decision Aid ◽  
Development Projects ◽  
Selection Of

scholarly journals Dominance-Based Rough Set Approach in Selection of Portfolio of Sustainable Development Projects

2012 ◽  
Vol 02 (04) ◽  
pp. 502-508 ◽  
Author(s):  
Kazimierz Zaras ◽  
Jean-Charles Marin ◽  
Bryan Boudreau-Trude
Keyword(s):  
Sustainable Development ◽  
Rough Set ◽  
Development Projects ◽  
Selection Of

Selection of Rich Model Steganalysis Features Based on Decision Rough Set $\alpha$ -Positive Region Reduction

2019 ◽  
Vol 29 (2) ◽  
pp. 336-350 ◽  
Author(s):  
Yuanyuan Ma ◽  
Xiangyang Luo ◽  
Xiaolong Li ◽  
Zhenkun Bao ◽  
Yi Zhang
Keyword(s):  
Rough Set ◽  
Positive Region ◽  
Selection Of

scholarly journals The rise and fall of biodiversity offsetting in the Lodge Hill large-scale housing development, South East England

2019 ◽  
Vol 3 (3) ◽  
pp. 706-731 ◽  
Author(s):  
Dimitrios Bormpoudakis ◽  
Joseph Tzanopoulos ◽  
Evangelia Apostolopoulou
Keyword(s):  
Urban Development ◽  
Environmental Impacts ◽  
Large Scale ◽  
Housing Development ◽  
Development Projects ◽  
Neoliberal Policies ◽  
South East England ◽  
Shed Light ◽  
Selection Of

In this paper, we aim to shed light on the geographies that led both to the selection of Lodge Hill for the construction of a large-scale housing development and to the subsequent attempt to use biodiversity offsetting to compensate for its environmental impacts. We draw on extensive fieldwork from 2012 to 2016, and diverge from previous studies on offsetting by focusing less on issues related to metrics and governance and shifting our analytic attention to the economic and urban geographies surrounding the Lodge Hill case. We argue that this approach can offer not only an empirically grounded account of why offsetting is being selected to address the impacts of specific urban development projects, but also an in-depth understanding of the factors that determine offsetting’s actual implementation on the ground. Viewing the Lodge Hill case through the frame of urbanization allows us to better grasp the how, why and when particular alliances of actors contest and/or support the implementation of biodiversity offsetting. Our analytical lens also helps exposing the fragility of neoliberal natures and the roles inter-capitalist competition and species biology and ecology can play on the success or failure of neoliberal policies.

Assessment and improvement of competitiveness of industrial complex

2020 ◽  
Vol 30 (5) ◽  
pp. 611-633
Author(s):  
Vadim Krivorotov ◽  
Alexey Kalina ◽  
Vasiliy Tretyakov ◽  
Sergey Yerypalov ◽  
Anna Oykher
Keyword(s):  
Resource Constraints ◽  
Electrical Equipment ◽  
Optimal Portfolio ◽  
Development Projects ◽  
Industrial Complex ◽  
Project Portfolio ◽  
Content Type ◽  
Methodical Approach ◽  
The Impact ◽  
Selection Of

Purpose The purpose of this study is to develop a model for the selection of optimal development projects for an industrial complex (IC), aimed at improving its competitiveness. Design/methodology/approach Selection of optimal projects for IC development is carried out within the framework of a methodical approach to assessing and forecasting the competitiveness of IC based on the phased implementation of the following steps: assessment of the current level of competitiveness of an IC; optimization of the project portfolio aimed at improving the IC competitiveness; forecasting the IC competitiveness. The methodology for assessing the IC competitiveness is based on a comparative analysis of its activities against those of its leading competitors and evaluates two integral characteristics, namely, the level of current competitiveness and the indicator of the competitive potential. The methodical approach to the selection of the optimal portfolio of projects for the development of competitiveness is based on a step-by-step optimization of the portfolio using a dynamic programming procedure, which takes into account the implementation conditions of the projects, resource constraints and the prioritization of these projects. The targeted benchmark for the optimization is an integral indicator of IC competitiveness, comprising various aspects of its activities. Findings Method for multi-factor evaluation of IC competitiveness and the impact of a set of factors driving competitive advantage; set of benchmarks of IC competitiveness; the model for the selection and step-by-step optimization of the portfolio of IC development projects, aimed at increasing competitiveness in the context of resource constraints. Practical implications Methodology described in this paper was used to assess the competitiveness and optimize the project portfolio of Uralelektrotyazhmash Group of Enterprises (UETM), one of the largest power engineering complexes in Russia. The assessment was carried out in comparison with the leading domestic and global manufacturers of electrical equipment, which form UETM’s primary competition in the marketplace. Originality/value The study establishes a method for the comprehensive assessment of IC competitiveness based on the comparison of IC activity indicators with those of leading competitors. The proposed method defines an integral competitiveness index to allow for the quantitative assessment of IC competitiveness, development of measures to improve IC competitiveness and producing a methodology to forecast the impact of such measures; the study proposes a methodical approach to selecting the optimal portfolio of projects for the development of IC based on the stepwise optimization of such a portfolio while taking into account the conditions of their implementation, resource constraints and the impact on the indicator of competitiveness. This approach allows the IC to prioritize the implementation of the development projects and maximize its competitiveness in the context of available resources.

Developing a multi-attribute decision aid model for selection of a weather radar supplier

2020 ◽  
Vol 40 (3) ◽  
pp. 371-384 ◽  
Author(s):  
Amaury Caruzzo ◽  
Cintia Maria Rodrigues Blanco ◽  
Paul Joe
Keyword(s):  
Decision Aid ◽  
Weather Radar ◽  
Selection Of
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