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Title: CoCoSo - Combined Compromise Solution Method for MCDA
Version: 0.1.0
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.
License: GPL (≥ 3)
Encoding: UTF-8
Language: en-US
RoxygenNote: 7.2.3
Depends: R (≥ 2.10)
LazyData: true
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2023-07-06 16:25:24 UTC; floquet
Author: Sergio Floquet ORCID iD [aut, cre], Marcos Santos ORCID iD [aut]
Maintainer: Sergio Floquet <sergiofloquet@hotmail.com>
Repository: CRAN
Date/Publication: 2023-07-06 19:10:02 UTC

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)

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