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    Development of a synthetic vulnerable population for four major metropolitan regions in Canada

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    <p>Code and source data to generate a synthetic population of potentially vulnerable individuals at the DA levels for four canadian metropolitan regions (Calgary, Montreal, Toronto, Vancouver). The repository also includes the results and code to analyse them.</p> <p>It is shared as a complementary material for the article "<em>A synthetic vulnerable population for tracking equity indicators and evaluating the impact of urban projects  and policies."</em>. (submitted), Jérémy Gelb, Philippe Apparicio, Hamzeh Alizadeh</p&gt

    Application of Z-restriction-based Multi-criteria Choice to a Marketing Mix Problem

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    AbstractIn this paper the method of solving Z-number valued multiobjective linear programming problem proposed in “R.A. Aliev, O.H. Huseynov, R.R. Aliyev, A.V. Alizadeh, The Arithmetic of Z-numbers. Theory and Applications. Singapore: World Scientific, 2015” is applied to solve a marketing mix problem. The method utilizes differential evolution optimization. The obtained results show validity and applicability of the proposed approach
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