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A COMPUTER IMPLEMENTED APPRAISAL SYSTEM AND METHOD THEREOF

  • US 20200134535A1
  • Filed: 07/11/2018
  • Published: 04/30/2020
  • Est. Priority Date: 07/11/2017
  • Status: Active Grant
First Claim
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1. A computer implemented appraisal system (100), said system (100) comprising:

  • a repository (102) configured to store a set of pre-defined organization rules, a lookup table having a list of employees, and actual emoluments, computed historical appraisal score values, employee details, and a set of pre-determined parameters corresponding to each of said employees, and a predicted weightage corresponding to each of said set of pre-determined parameters;

    an analyzer (104) configured to cooperate with said repository (102), said analyzer further configured to analyze said stored employee details for each of said employees based on said set of pre-defined organization rules to generate a plurality of clusters of employees;

    a ranking engine (106) configured to cooperate with said repository (102) and said analyzer (104), said ranking engine (106) comprising;

    a matrix creator (106b) configured to create a matrix for each of said clusters of employees for each of said pre-determined parameters, and further configured to populate each cell of said created matrix with a rating value by comparing a score value of each of the employees associated with said cell; and

    a ranking module (106a) configured to cooperate with said matrix creator (106b), and further configured to generate a rank value for each of the employees of said created matrix based on said rating value;

    a validation module (110) configured to cooperate with said ranking engine (106), and further configured to identify at least one error or at least one occurrence of biasness by comparing the rank value of each employee with rank values of other employees of said created matrix;

    an autocorrection engine (111) configured to cooperate with said validation module (110), said autocorrection engine (111) configured to autocorrect said identified error or biasness using said computed historical appraisal score values and said set of pre-defined rules; and

    a computation module (112) configured to cooperate with said repository (102) and said ranking engine (106), and further configured to compute emoluments for each of said employees based on said rank value, said actual emoluments, and said set of pre-defined organization rules,wherein said analyzer (104), said ranking engine (106), said validation module (110), said autocorrection engine (111), and said computation module (112) are configured to be implemented using one or more processor(s).

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