• The decision-matrix method, also Pugh method or Pugh concept selection, invented by Stuart Pugh, is a qualitative technique used to rank the multi-dimensional...
    3 KB (463 words) - 11:03, 22 July 2022
  • Elements of a decision matrix show decisions based on certain decision criteria. The matrix is useful for looking at large masses of decision factors and...
    5 KB (551 words) - 06:09, 22 December 2022
  • Thumbnail for Decision tree
    (machine learning) – Method in machine learning Decision cycle – Sequence of steps for decision-making Decision list Decision matrix Decision table – Table specifying...
    25 KB (3,519 words) - 14:49, 20 October 2024
  • Thumbnail for Kraljic matrix
    In supply chain management, the Kraljic matrix (or Kraljic model) is a method used to segment the purchases or suppliers of a company by dividing them...
    3 KB (437 words) - 16:24, 27 February 2024
  • Thumbnail for Decision support system
    A decision support system (DSS) is an information system that supports business or organizational decision-making activities. DSSs serve the management...
    27 KB (3,298 words) - 18:59, 4 November 2024
  • specifically the problem of statistical classification, a confusion matrix, also known as error matrix, is a specific table layout that allows visualization of the...
    15 KB (1,665 words) - 01:14, 5 November 2024
  • business and project management, a responsibility assignment matrix (RAM), also known as RACI matrix (/ˈreɪsi/; responsible, accountable, consulted, and informed)...
    21 KB (2,457 words) - 05:47, 9 December 2024
  • A risk matrix is a matrix that is used during risk assessment to define the level of risk by considering the category of likelihood (often confused with...
    13 KB (1,430 words) - 19:19, 15 October 2024
  • (1929–1993), engineer, innovator, and author; inventor of the Pugh Decision-matrix method Tim Pugh (born 1967), former Major League Baseball pitcher Toby...
    4 KB (601 words) - 11:37, 1 December 2024
  • C. area. In 2015, the USAO revised its method. Its matrix is no longer based on the Laffey Matrix. Its matrix is now based on data from a 2010-2011 ALM...
    17 KB (2,485 words) - 03:06, 2 October 2024
  • Thumbnail for Growth–share matrix
    The growth–share matrix (also known as the product portfolio matrix, Boston Box, BCG-matrix, Boston matrix, Boston Consulting Group portfolio analysis...
    19 KB (2,638 words) - 05:54, 29 October 2024
  • processes, then the Gram matrix K {\displaystyle \mathbf {K} } can also be called a covariance matrix. Application areas of kernel methods are diverse and include...
    13 KB (1,670 words) - 14:02, 27 October 2024
  • classification tree can be an input for decision making). Decision tree learning is a method commonly used in data mining. The goal is to create a model...
    47 KB (6,524 words) - 12:39, 16 July 2024
  • Thumbnail for Covariance matrix
    covariance matrix (also known as auto-covariance matrix, dispersion matrix, variance matrix, or variance–covariance matrix) is a square matrix giving the...
    36 KB (5,727 words) - 10:28, 23 December 2024
  • {\displaystyle {\begin{matrix}\sum _{i=0}^{t}{\binom {n}{i}}\\\end{matrix}}} This is a family of Las Vegas-probabilistic methods all based on the observation...
    12 KB (1,867 words) - 07:02, 11 January 2024
  • Thumbnail for Ansoff matrix
    The Ansoff matrix is a strategic planning tool that provides a framework to help executives, senior managers, and marketers devise strategies for future...
    10 KB (1,106 words) - 04:03, 9 September 2024
  • Minimax (sometimes Minmax, MM or saddle point) is a decision rule used in artificial intelligence, decision theory, game theory, statistics, and philosophy...
    27 KB (3,812 words) - 19:57, 12 October 2024
  • Non-negative matrix factorization (NMF or NNMF), also non-negative matrix approximation is a group of algorithms in multivariate analysis and linear algebra...
    68 KB (7,780 words) - 23:09, 26 August 2024
  • Random forest (category Decision trees)
    random decision forests is an ensemble learning method for classification, regression and other tasks that works by creating a multitude of decision trees...
    46 KB (6,483 words) - 22:02, 2 October 2024
  • data is preserved. CUR matrix approximation Data transformation (statistics) Hyperparameter optimization Information gain in decision trees Johnson–Lindenstrauss...
    21 KB (2,252 words) - 22:16, 4 December 2024
  • Thumbnail for Condorcet method
    methods, such as Ranked Pairs and the Schulze method, use the information contained in the sum matrix to choose a winner. Cells marked '—' in the matrices...
    71 KB (9,462 words) - 03:43, 16 December 2024
  • is another regularization method in statistics. Elastic net regularization Matrix regularization In statistics, the method is known as ridge regression...
    31 KB (4,024 words) - 15:43, 21 November 2024
  • S2CID 16090098. Spall, J. C. (2008), "Improved Methods for Monte Carlo Estimation of the Fisher Information Matrix," Proceedings of the American Control Conference...
    50 KB (7,559 words) - 10:34, 26 November 2024
  • gradient boosting method which improves the quality of fit of each base learner. Generic gradient boosting at the m-th step would fit a decision tree h m ( x...
    28 KB (4,208 words) - 19:54, 2 October 2024
  • in according quadrants in an Eisenhower Matrix (also known as an "Eisenhower Box" or "Eisenhower Decision Matrix"). Tasks in the quadrants are then handled...
    28 KB (3,269 words) - 13:07, 23 December 2024
  • the user-item interaction matrix into the product of two lower dimensionality rectangular matrices. This family of methods became widely known during...
    18 KB (2,538 words) - 02:07, 23 August 2024
  • the prioritization matrix include return on investment (ROI) or cost–benefit analysis (investment vs. return), time management matrix (urgency vs. importance)...
    5 KB (543 words) - 12:26, 30 August 2024
  • Analytic hierarchy process – leader example (category Group decision-making)
    where each entry belongs in the AHP matrix): The next step is to transfer the weights to a matrix, using a method unique to the AHP. For each pairwise...
    24 KB (3,568 words) - 01:48, 26 June 2023
  • The VIKOR method is a multi-criteria decision making (MCDM) method. It was originally developed by Serafim Opricovic in 1979 to solve decision problems...
    8 KB (1,154 words) - 15:25, 1 July 2024
  • Thumbnail for Copeland's method
    matrix r is antisymmetric. The method as initially described above is sometimes called the "1/1⁄2/0" method. Llull himself put forward a 1/1/0 method...
    18 KB (2,491 words) - 15:05, 17 July 2024