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Showing 6 open source projects for "mcda"
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The AI workplace management platformBy combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
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Data management solutions for confident marketingVerify, deduplicate, manipulate, and assign records automatically to keep your CRM data accurate, complete, and ready for business.
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Digraph3
A collection of python3 modules for Algorithmic Decision Theory
This collection of Python3 modules provides a large range of implemented decision aiding algorithms useful in the field of outranking digraphs based Multiple Criteria Decision Aid (MCDA), especially best choice, linear ranking and absolute or relative rating algorithms with multiple incommensurable criteria. Technical documentation and tutorials are available under the following link: https://digraph3.readthedocs.io/en/latest/ The tutorials introduce the main objects like digraphs, outranking digraphs and performance tableaux. ... -
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This is a java based software that solves the following MCDA (Multicriteria Decision Aid) problems: Electre I, Electre I_s, Electre I_v, Electre II, Electre III, Electre IV, Electre TRI and Electre TRI ME.
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Simple Value Tree is an Excel Add-in for Multiple-Criteria Decision Analysis (MCDA). This Add-in was created by Huong Lien Le and Gilberto Montibeller in 2017, and further developed by Hangchen Zhu in 2018.
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This project provides a set of libraries written in Java to easily manipulate Multi-Criteria Decision Aid (MCDA) concepts, especially related to outranking methods, and XMCDA files.
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The AI-powered unified PSA-RMM platform for modern MSPs.SuperOps.ai is the only PSA-RMM platform powered by intelligent automation and thoughtfully crafted for the new-age MSP. The platform also helps MSPs manage their projects, clients, and IT documents from a single place.
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Classes for manipulating data used in various methods applicable for Multi Criteria Decision Analysis. Also transforms data in order to obtain results of the analysis.
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Json data Decoder and Encoder, works with non-standard Json data. Decoders accept non-standard Json data. Encoder accepts formatters producing data formatted: for human readibility, and/or non-standard Json data.
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