https://pypi.org/project/topsis-paryagdeep-101903573/ Recent updates to the Python Package Index for Topsis-Paryagdeep-101903573 en https://pypi.org/project/topsis-paryagdeep-101903573/0.0.3/ TOPSIS is a method of compensatory aggregation that compares a set of alternatives by identifying weights for each criterion, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score in each criterion. psingh4_be19@thapar.edu Sun, 27 Feb 2022 14:53:46 GMT https://pypi.org/project/topsis-paryagdeep-101903573/0.0.2.3.6/ TOPSIS is a method of compensatory aggregation that compares a set of alternatives by identifying weights for each criterion, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score in each criterion. psingh4_be19@thapar.edu Sun, 27 Feb 2022 14:50:37 GMT https://pypi.org/project/topsis-paryagdeep-101903573/0.0.2.3.5/ TOPSIS is a method of compensatory aggregation that compares a set of alternatives by identifying weights for each criterion, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score in each criterion. psingh4_be19@thapar.edu Sun, 27 Feb 2022 14:49:04 GMT https://pypi.org/project/topsis-paryagdeep-101903573/0.0.2.3.4/ TOPSIS is a method of compensatory aggregation that compares a set of alternatives by identifying weights for each criterion, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score in each criterion. psingh4_be19@thapar.edu Sun, 27 Feb 2022 14:43:07 GMT https://pypi.org/project/topsis-paryagdeep-101903573/0.0.2.3.3/ TOPSIS is a method of compensatory aggregation that compares a set of alternatives by identifying weights for each criterion, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score in each criterion. psingh4_be19@thapar.edu Sun, 27 Feb 2022 14:40:21 GMT https://pypi.org/project/topsis-paryagdeep-101903573/0.0.2.3.2/ TOPSIS is a method of compensatory aggregation that compares a set of alternatives by identifying weights for each criterion, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score in each criterion. psingh4_be19@thapar.edu Sun, 27 Feb 2022 14:38:39 GMT https://pypi.org/project/topsis-paryagdeep-101903573/0.0.2.3.1/ TOPSIS is a method of compensatory aggregation that compares a set of alternatives by identifying weights for each criterion, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score in each criterion. psingh4_be19@thapar.edu Sun, 27 Feb 2022 14:35:56 GMT https://pypi.org/project/topsis-paryagdeep-101903573/0.0.2.3/ TOPSIS is a method of compensatory aggregation that compares a set of alternatives by identifying weights for each criterion, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score in each criterion. psingh4_be19@thapar.edu Sun, 27 Feb 2022 14:29:33 GMT https://pypi.org/project/topsis-paryagdeep-101903573/0.0.2.2/ TOPSIS is a method of compensatory aggregation that compares a set of alternatives by identifying weights for each criterion, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score in each criterion. psingh4_be19@thapar.edu Sun, 27 Feb 2022 13:59:56 GMT https://pypi.org/project/topsis-paryagdeep-101903573/0.0.2.1/ TOPSIS is a method of compensatory aggregation that compares a set of alternatives by identifying weights for each criterion, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score in each criterion. psingh4_be19@thapar.edu Sun, 27 Feb 2022 13:44:01 GMT https://pypi.org/project/topsis-paryagdeep-101903573/0.0.2/ TOPSIS is a method of compensatory aggregation that compares a set of alternatives by identifying weights for each criterion, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score in each criterion. psingh4_be19@thapar.edu Sun, 27 Feb 2022 13:39:06 GMT https://pypi.org/project/topsis-paryagdeep-101903573/0.0.1.1/ TOPSIS is a method of compensatory aggregation that compares a set of alternatives by identifying weights for each criterion, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score in each criterion. psingh_4be19@thapar.edu Sun, 27 Feb 2022 12:34:25 GMT https://pypi.org/project/topsis-paryagdeep-101903573/0.0.1/ TOPSIS is a method of compensatory aggregation that compares a set of alternatives by identifying weights for each criterion, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score in each criterion. psingh_4be19@thapar.edu Sun, 27 Feb 2022 12:26:12 GMT