Research Article

Generalized Ideals of BCK/BCI-Algebras Based on MQHF Soft Set with Application in Decision Making

Algorithm 1

Algorithm by using MQHFS.
(1)Input the MQHFS .
(2)Input the relative weight of parameters.
(3)Change the into normalized -polar fuzzy soft set.
(4)Compute the induced fuzzy soft set  = 
(5)Input the midlevel decision rule (or the threshold fuzzy set ; or give a threshold value ; or choose the top-level decision rule) for decision making.
(6)Compute the midlevel soft set L (or the level soft set L of with the respect of the threshold fuzzy set; or the t-level soft set L (; or the top-level soft set L (; max))
(7)Put the midlevel soft set L (or the level soft set L; or L; or L) in tabular form and compute the choice value of .
(8)Select the optimal alternative if
(9)If there are more than one ’s then any one of may be chosen.