Metadata-Version: 2.1
Name: Topsis-Ridhima-102017100
Version: 1.0.0.4
Summary: Python Library that perform TOPSIS
Home-page: UNKNOWN
Author: Ridhima Gupta
Author-email: 600ridhima@gmail.com
License: MIT
Description: ## TOPSIS
        
        
        
        Project-1: submitted by: Ridhima Gupta Roll no: 102017100 Group: 3CS5
        
        It is a Python library for dealing with Multiple Criteria Decision Making(MCDM) problems by using Technique for Order of Preference by Similarity to Ideal Solution(TOPSIS).
        
        
        ## Installation
        
        Use the package manager pip to install topsis
        
        ```sh
        pip install Topsis-Ridhima-102017100==1.0.0.4
        ```
        
        ## Usage
        Enter csv filename followed by .csv extentsion, then enter the weights vector with vector values separated by commas, followed by the impacts vector with comma separated signs (+,-), followed by result filename
        ```sh
        topsis sample.csv "1,1,1,1" "+,-,+,+" result.csv
        ```
        Impact and weight should not contain spaces in between them.
        
        ## Example
        ##### sample.csv
        A csv file showing data for different mobile handsets having varying features.
        
        | Model |	Storage space(in gb)|	Camera(in MP)|	Price(in $)|Looks(out of 5)
        | ------|-----------------------|----------------|-------------|---------
        | M1    |16|	12|	250|	5
        | M2    |16|	8|	200|	3
        | M3    |32|	16|	300|	4
        | M4    |32|	8|	275|	4
        | M5    |16|	16|	225|	2
        
        weights vector = [ 0.25 , 0.25 , 0.25 , 0.25 ]
        impacts vector = [ + , + , - , + ]
        
        ### Input:
        ```sh
        topsis sample.csv "1,1,1,1" "+,-,+,+" result.csv
        ```
        
        ### Output:
        Topsis Result:
        
        | | Model |	Storage space(in gb)|	Camera(in MP)|	Price(in $)|Looks(out of 5)|Performance Score|Rank|
        |--| ------|-----------------------|----------------|-------------|---------|-------|----|
        |1| M1    |16|	12|	250|	5|0.534277|3|
        |2| M2    |16|	8|	200|	3|0.308368|5|
        |3| M3    |32|	16|	300|	4|0.691632|1|
        |4| M4    |32|	8|	275|	4|0.534737|2|
        |5| M5    |16|	16|	225|	2|0.401046|4|
        
        
        ## Other notes
        - The first column and first row are removed by the library before processing, in attempt to remove indices and headers. So make sure the csv follows the format as shown in sample.csv.
        - Make sure the csv does not contain categorical values
        
        
        
        
        ## License
        
        MIT
        
        **Free Software, Hell Yeah!**
        
        [//]: # (These are reference links used in the body of this note and get stripped out when the markdown processor does its job. There is no need to format nicely because it shouldn't be seen. Thanks SO - http://stackoverflow.com/questions/4823468/store-comments-in-markdown-syntax)
        
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Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
