Computer-implemented method and system for collecting votes in a decision model
A computer-implemented method provides for collecting votes on importances in an existing analytic network process (ANP) model, the ANP model having items which are influence linked. The votes to be collected are determined, wherein the votes are with respect to items in the ANP model, the items being influence linked, and wherein a vote represents an importance of two or more influence linked items. An item can be a control criteria, an element, or a cluster. Also, at least a portion of the votes are collected automatically or semi-automatically, including collecting votes on two or more pairs of items where the items are in the same cluster with respect to a different item that is in the same cluster or a different cluster, and collecting votes on items where the items are clusters or control criteria.
1 . A computer-implemented method for collecting votes on importances in an existing analytic network process (ANP) model, the ANP model having items which are influence linked, comprising:
determining votes to be collected, wherein the votes are with respect to items in the ANP model, the items being influence linked, wherein a vote represents an importance of at least two influence linked items; and wherein a type of an item is a control criteria, an element, or a cluster;
automatically or semi-automatically collecting, in the computer, at least a portion of the votes to provide collected votes, including
first collecting votes on a plurality of pair of items where the items are in the same cluster, with respect to a different item that is in the same cluster or a different cluster, and
second collecting votes on items where the items are clusters or control criteria.
2 . The method of claim 1 , further comprising associating particular users with different respective portions of the votes to be collected.
3 . The method of claim 2 , wherein at least one of the particular users is limited to voting on an associated one of the respective portions.
4 . The method of claim 1 , further comprising
automatically determining, in the computer, a portion of a judgment matrix representative of a portion of the ANP model to be populated responsive to the collected votes; and
automatically populating, in the computer, the judgment matrix with the collected votes.
5 . The method of claim 4 , wherein populating the judgment matrix includes automatically performing, in the computer, pairwise comparisons of the items responsive to the collected votes.
6 . The method of claim 5 , further comprising
calculating priorities from the judgment matrix; and
populating the priorities into a super matrix representing a network in the ANP model.
7 . The method of claim 5 , further comprising
calculating an average of plural judgment matrices including the judgment matrix; and
determining an average of the pairwise comparisons, wherein the votes in the judgment matrices are from different users.
8 . The method of claim 5 , further comprising automatically determining, in the computer, a plurality of items in the pairwise comparisons responsive to influence links of the items corresponding to the collected votes.
9 . A computer readable medium comprising instructions for execution by a computer, the instructions including a computer-implemented method for determining voting for an existing analytic network process (ANP) model amongst users, the instructions for implementing:
providing an ANP model including first and second items which are influence linked, wherein an item is a cluster, a control criteria, or an element; and
determining the votes to be collected, wherein the votes are with respect to first items in the ANP model, the first items being influence linked to respective second items in the ANP model, wherein a vote represents an importance of respective first and second items.
10 . The medium of claim 9 , further comprising evaluating the first items to determine second items to which respective first items are influence linked.
11 . The medium of claim 9 , further comprising
associating respective portions of the votes to be collected with particular users in a plurality of users,
wherein one of the particular users can vote on the respective associated portion.
12 . The medium of claim 11 , further comprising
collecting votes on respective associated portions from respective ones of the particular users,
wherein the collecting further includes limiting information provided to the particular user about the ANP model to the respective associated portion of the ANP model.
13 . The medium of claim 9 , further comprising
collecting votes from a plurality of users, wherein a particular user can cast votes for a predetermined portion of the ANP model,
wherein the votes for a particular user reflect a user's indication of a relationship between a first item and at least two second items which are influence-linked to the first item.
14 . The medium of claim 9 , further comprising
providing indications of a plurality of users from which to collect the votes; and
associating respective portions of the votes with particular users,
wherein votes to be collected are for at least two of a portion of a control criteria, an element, and a cluster.
15 . The medium of claim 9 , further comprising
assigning users to respective roles; and
determining the users from which to collect the votes by determining votes corresponding to roles and users corresponding to roles.
16 . A computer-implemented system for collecting information on importances of elements in a decision model, comprising:
an influence linked item determination unit, responsive to a first item, configured to facilitate automatically determining, in the computer, at least two respective second items to which the first item is influence linked in the decision model, wherein types of items in the decision model include control criteria, elements, and clusters;
a vote selection unit, configured to facilitate
selecting, responsive to a plurality of first items, plural sets of influence linked items on which votes are to be collected, wherein a vote represents an importance of influence linked items in respective sets; and
automatically or semi-automatically associating, in the computer, at least two respective second items in the respective set responsive to the respective first item, wherein the first item and the at least two respective second items in the respective set can have different types; and
a vote collection unit configured to facilitate collecting a plurality of votes between items in the respective sets.
17 . The system of claim 16 , wherein the vote selection unit associates, responsive to a user indicator, a particular user with a particular portion of the votes to be collected, and wherein the vote collection unit collects votes for the particular portion with respect to the user indicator.
18 . The system of claim 16 , wherein the vote selection unit associates, responsive to a user indicator, a particular user with a particular portion of the votes to be collected, and wherein the vote collection units limits each user to voting on a particular predetermined portion of the control criteria, elements, and clusters.
19 . The system of claim 16 , further comprising
a memory storing the decision model, the decision model having the items which are influence linked, including the first items and the second items; and
a decision model population unit, responsive to at least a portion of votes which have been collected, configured to facilitate populating the collected votes into a corresponding portion of the decision model.
20 . The system of claim 16 , wherein the vote collection unit is role-based.
21 . The system of claim 16 , wherein the importance represents a rating.
22 . The system of claim 16 , wherein the importance is relative to the influence linked items.