Developer: GKConsulting
ChoiceResults is a decision support software application for
modeling and analysis tool using the analytic hierarchy process
(AHP) for modeling complex decisions and analyzing the
results.
ChoiceResults models the decision based on a set of objectives
and criterion that are "brainstormed" and organized using a
whiteboard. The objectives and criteria are evaluated using a
pair-wise rating resulting in the decision weights. The
alternatives are evaluated against each criterion to determine
the results.
The result are shown graphically and are evaluated by
analyzing the contributing factors and the sensitivity of those
factors to the decision.
ChoiceResults provides group collaboration tools for group
ratings and deriving concensus among the group. The results of
the group collaboration is used to set the pair-wise ratings of
the criteria and alternatives resulting in a group concensus
decision.
Making the right decision is often
difficult considering the often
complex and barious driving factors that affect the decision.
The
decision process can be filled with political and personal
biases, are
many times subjective and very hard to defend, and
developing
group consensus and buy-in can be very difficult.
ChoiceResults is a decision support application that utilizes
the
analytic hierarchy process (AHP), developed at the Whatron
School
of Business by Thomas Saaty (Saaty, Thomas L. 1980. The
Analytic
Hierarchy Process ) , that allows decision makers to model
a
complex problem in a hierarchical structure showing the
relationships
of the goal, objectives (criteria), sub-objectives, and
alternatives.
Using the application of data, experience, insight and
intuition in a
logical and thorough way it enables decision makers to
derive
rational scale priorities while incorporating both objective
and
subjective considerations.
The analytic hierarchy process
(AHP) is a process that allows for the
application of data, experience, insight and intuition in a
logical and
thorough way enabling decision-makers to derive priorities
(weights)
in a rational way as opposed to arbitrarily assigning them
while
incorporating both object and subjective considerations.
The process uses several techniques:
Hierarchical structuring of complex decision. The
decision
model begins with a goal and a set of criteria that is
organized
into objectives.
Pairwise comparisons to rationaly evaluate the relative
importance of each criterion against the other criteria
and
alternatives.
Redundant judgements of the criterion and alternatives.
Eigenvector method for deriving the weights and
consistency
indices.
The process is based on solid foundational principals:
The decomposition principal of breaking complex decision
down into manageable units of cluster, sub-clusters, and
so
on.
Comparative judgments for evaluating the relative
importance
of the criteria and how well the alternatives satisfy the
criteria
by constructing pairwise comparisons of all combinations
of
elements in a cluster with respect to the cluster
parent.
Hierarchic composition or synthesis of priorities for
calculating the weights of the objectives and the scores for
the
alternatives by multplying the local priorities of elements in
a
cluster by the "global" priority of the parent element,
producing global priorities for the lowest level
elements
(alternatives).
AHP theory's primary axioms:
The reciprocal axiom Pc(Ea,Eb) = 1/Pc(Ea,Eb)
The homogeneity axiom that states that elements bing
compared should not differ by too much otherwise large
errors will occur.
The independency axiom that states that elements in the
hierarchy do not depend on lower level elements allowing
the
application of the hierarchy composition.
The AHP process can be used in a variety of decision
support
applications and is not necessarily limited to determining the
best
alternative for a decision but can also be used to simply
prioritize
criteria.
The ChoiceResults application
faciliates the development of the AHP
model, developing the weights and anlyzing the results.
Graphically model and maintain the hierarchy of the
goal,
objectives and criteria using the brainstorm whiteboard.
Graphically perform pairwise comparison of all of the
criteria
and the alternatives while calculating the consistency
indices
and criteria weight in real-time.
Maintain documentation about the criteria and
alternatives,
and record the rationale for the pairwise ratings.
Facilitate group ratings allowing individual participant
ratings
and rationale to be recorded.
Analyze group ratings building concensus and then using
the
concensus ratings of the group as the ratings for the
primary
model.
Analyze the results of the decision by evaluating
weights,
contributions, "winners" at each level, and analyzing
the
sensitivity of the weights and how it might change the
results.
Produce rich text format reports with data and graphics.
Publish the project to the web where individuals can rate
the
criteria and alternatives and automatically feed the web
ratings into the group participant model (coming in version
2).
Building a Model | Brainstorm | Rate the Model | Group Ratings
Analyze Group Ratings | Analyze Results | Generate Report | Web Project
Windows XP / 2000 / 2003 / Me / NT / 98
Additional Information: ChoiseResults Professional |
||
| $299.95 | Buy Online |
 |
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