Introduction Considered as one of the East Asian Tigers, Singapore, despite its lack of natural resources, has the highest per capita GDP in the world t6hat enjoys a highly developed free market economy. Its scarce resources made the country dependent on exports produced by other countries through its extended trade importing products of electronics and manufacturing companies in particular. Total As of Julythe estimated population of Singapore is 4, http: This demonstrates that the country is a viable export location for fast-moving consumer goods FMCGs since its population caters to a significant number of market populations.
Description Usage Elicits a general additive value function from a ranking of alternatives. Each row corresponds to an alternative, and each column to a criterion. The elements are named according to the IDs of the criteria. The elements are named according to the IDs of the alternatives.
If not present, then at least one of alternativespreferences or alternativesindifferences should be given. Each line of the matrix corresponds to a constraint of the type alternative a is strictly preferred to alternative b. If not present, then either alternativesranks or alternativesindifferences should be given.
Each line of the matrix corresponds to a constraint of the type alternative a is indifferent to alternative b. If not present, then either alternativesranks or alternativespreferences should be given. The function returns a list structured as follows: Each value function is defined by a matrix of breakpoints, where the first row corresponds to the abscissa row labelled "x" and where the second row corresponds to the ordinate row labelled "y".
A vector containing the ranks of the alternatives obtained via the elicited value functions. Kendall s tau between the input ranking and the one obtained via the elicited value functions. The errors sigma which have to be added to the overall values of the alternatives in order to respect the input ranking.
Based on Assignment2 cost classification pricing UTA algorithm E. Siskos, Assessing a set of additive utility functions for multicriteria decision-making, the UTA method, European Journal of Operational Research, Volume 10, Issue 2,June except that the breakpoints of the value functions are the actual performances of the alternatives on the criteria.
AHP criteriaWeightsPairwiseComparisons, alternativespairwisecomparisonslist Arguments Value criteriaweightspairwisecomparisons Matrix or data frame containing the pairwise comparison matrix for the criteria weights.
Lines and columns are named according to the IDs of the criteria. The elements of the list are named according to the IDs of the criteria. In each matrix, the lines and the columns are named according to the IDs of the alternatives.
The function returns a vector containing the AHP score for each alternative. References The Analytic Hierarchy Process: Description Usage Transforms a performance table via given piecewise linear value functions.
The function returns a performance table which has been transformed through the given value functions. Description Usage Assign alternatives to categories according to thresholds representing the lower bounds of the categories.
The elements are 8 8 assignalternativestocategoriesbythresholds Value categorieslowerbounds Vector containing the lower bounds of the categories. An alternative is assigned to a category if it s score is higher or equal to the lower bound of the category, and strictly lower to the lower bound of the category above.
The function returns a vector containing the assignments of the alternatives to the categories. Description Usage MRSort is a simplified ElectreTRI method that uses the pessimistic assignment rule, without indifference or preference thresholds attached to criteria.
LPDMRSort considers both a binary discordance and a binary concordance conditions including several interactions between them.
The index of the row in the matrix corresponds to the rank of the category.
Should be at least half of the sum of the weights. NA values mean that no veto is defined. A veto threshold for criterion i and category k represents the performance below which an alternative is forbidden to outrank the lower profile of category k, and thus is forbidden to be assigned to the category k.
The rows are named according to the categories, whereas the columns are named according to the criteria. A dictator threshold for criterion i and category k represents the performance above which an alternative is guaranteed to outrank the lower profile of category k, and thus may no be assigned below category k.
The values to choose from are "", "V", "D", "v", "d", "dv", "Dv", "dv". Vector containing IDs of categories, according to which the data should be filtered.
Value The function returns a vector containing the assignments of the alternatives to the categories.schwenkreis.com at KeyOptimize.
The university of liverpool. computer science department. degree programmes. research. department. welcome week for cs students. the programme of events for undergraduate and taught postgraduate students attending welcome. Economy and Social-Cultural Marketing Analysis of Exporting Fast-Moving Consumer Goods (FMCG) in Singapore I.
Introduction Considered as one of the East Asian Tigers, Singapore, despite its lack of natural resources, has the highest per capita GDP in the world t6hat enjoys a highly developed free market economy.
Assignment2 Cost Classification & Pricing Essay Cost Classification and Pricing Student Name Student University Cost and Price Analysis Cost Classification and Pricing Cost Classification According to Maher, L. (), cost classification refers to the separation of different expenses in various categories.
Assignment 3 Cost and Quality Week 7 WBS Outline for wireless access points in your company's warehouse Assignment 3: Cost and Quality Due Week 7 and worth 75 points This assignment is a continuation and enhancement of Assignment 2.
Viewport API Porting Guide Part 2: Porting Details +. Dec 22, · 1 Version Date Package MCDA January 14, Title Functions to Support the Multicriteria Decision Aiding Process Author Patrick Meyer, Sébastien Bigaret, Richard Hodgett, Alexandru-Liviu Olteanu Maintainer Patrick Meyer Description Functions which can be useful to support the analyst in the Multicriteria Decision Aiding (MCDA) process involving multiple, conflicting criteria.