overall_pv_extend: Calculate Prospect Values

In avilesd/productConfig: Tools to analyze behavioral patterns from Product Configurators

Description

This function works with the simple additive weighting method. It takes a value matrix and the weight of each attribute and calculates the prospect value for each alternative (round) [1,2].

Usage

overall_pv_extend(value_matrix, weight = NULL)

Arguments

value_matrix	a List of numeric matrices, results from using the value function on previously calculated normalized gain and loss matrices.
weight	numeric vector. Represents the importance or relevance that an attribute has and the weight it should have in the calculation of the prospect value. Alternatively, you can enter a list of numeric vectors, each element of the list corresponding to one user in userid.

Details

You need to pre-calculate the value matrix, for example with pvalue_matrix and give it as a parameter. This is one of the few functions of this package that do not allow you to give the raw data from your product Configurator, but rather calculate a previous result(value matrix) to input here.

value_matrix ncol = number of attributes, nrow = number of rounds.

Value

a list of overall prospect values for each round (each product alternative). Each element of a list is the result for one user.

References

[1] Fan, Z. P., Zhang, X., Chen, F. D., & Liu, Y. (2013). Multiple attribute decision making considering aspiration-levels: A method based on prospect theory. Computers & Industrial Engineering, 65(2), 341-350.

[2] Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica: Journal of the Econometric Society, 263-291.

See Also

overallPV

Examples

overall_pv_extend(my_value_matrix, weight = c(0.1, 0.2, 0.4, 0.3))
overall_pv_extend(pvMatrix(someData, someUsers), weight = getAttrWeights(someData, someUsers))
overall_pv_extend(my_matrix, weight=c(0.8,0.05,0.05,0.1))
overall_pv_extend(vMatrix, weight =  aWeightVector)

## Not run: overall_pv_extend(value_mx)  # Always provide weights or dataset.

avilesd/productConfig documentation built on May 11, 2019, 4:08 p.m.