Package 'cocosoR'

Title: CoCoSo - Combined Compromise Solution Method for MCDA
Description: Provides a set of functions to implement the Combined Compromise Solution (CoCoSo) Method created by Yazdani, Zarate, Zavadskas and Turskis (2019) <doi:10.1108/MD-05-2017-0458>. This method is based on an integrated simple additive weighting and compromise exponentially weighted product model.
Authors: Sergio Floquet [aut, cre] , Marcos Santos [aut]
Maintainer: Sergio Floquet <[email protected]>
License: GPL (>= 3)
Version: 0.1.0
Built: 2025-02-14 03:55:50 UTC
Source: https://github.com/sergiofloquet/cocosor

Help Index

Verify if the dataset to be submitted to cocoso function is correctly formatted.

Description

Verify if the dataset to be submitted to cocoso function is correctly formatted.

Usage

check_input_data_cocoso(md_data)

Arguments

md_data

Must be a data frame with information about Criteria, Alternatives and Optimal Value. See example_cocoso.

Value

True if the dataset is correctly formatted and False otherwise.

Examples

data(example_cocoso)
check_input_data_cocoso(example_cocoso)

Implementation of CoCoSo Method

Description

Implementation of CoCoSo Method

Usage

cocoso(md_data, parameter_alpha = 0.5)

Arguments

md_data

Must be a data frame with information about Criteria, Alternatives and Optimal Value. See example_cocoso.
parameter_alpha

Parameter for third aggregation strategies.

Value

Final ranking of all alternatives from CoCoSo method. In addition, we compute and present all three aggregation strategies.

Examples

data(example_cocoso)
cocoso(example_cocoso)

Data example of logistic provider selection problem.

Description

Information of decision-making matrix from a logistic provider selection problem including information about criteria, alternatives and weights.

Usage

example_cocoso

Format

A data frame with 10 rows and 6 columns.

Source

Extract in "A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems", Yazdani, M., Zarate, P., Kazimieras Zavadskas, E., & Turskis, Z. (2019).

Examples

example_cocoso

Padronization of decision-making matriz by sum.

Description

Padronization of decision-making matriz by sum.

Usage

standard_cocoso(md_data)

Arguments

md_data

Decision-making matrix.

Value

A Decision-making matrix normalize.

Examples

standard_cocoso(mtcars)