LET'S MAKE more conscious DECISIONS
Complex Decision Support, Risk Management Tool, Policy Framework with Customized Consultancy.
No gamble with risks
Dealing with business risks without an appropriate tool is like gambling your company on black jack
We work – YOU DECIDE
We are creating domain specific working environment to ease the navigation and processing of users, who are in charge of preparing or making complex decisions.
Our state-of-the-art technology offers a full scale support in Decision Making, Risk Management and Policy Creation processes in multi stakeholder multi criteria environments.
We secure a multi-lateral win-win situation for each leg of the Quad Helix Model, by creating clear transparency, increasing buttom line, early citizen involvement, and academic researches.
Helision is a complex support to make more conscious decisions, to optimize risk management in complicated wide horizon portfolios, and to launch sustainable policies.
How We Work
Behind Helision there is a cluster of dedicated experts offering full scope support for decisions, risk management and the preparation of policies, where many relevant parameters can be handled.
Every complex organization encounters with situations, when a solid strategy must be set up based on various and numerous variables. Independently of what kind of a challenge the organization has, in the field of Decision support, Risk management and Policy preparation Helision a state-of-the-art service.
Being in the driver seat you can freely scale the consultation support you apply for the organization, or for the decision makers of your company. Helision is a user friendly and intuitive software, which connects the users to a highly mathematical core engine. To be able to bring to most out of it, you may need the support of our experts to design, execute and to follow-up the decision making, risk management, or policy preparation processes.
Helision software is based on the experiences of the previous DecideIt releases, and is built around the Delta core engine of Preference AB. Moon42 Ltd. develops this software in an iterative way to democratize higher mathematical approaches of the outstanding scientific workshop. undefined
Intuitive User Interface
Multi-criterion multi-stakeholder decision making processes, complex risk management or sustainable and transparent policy preparations require high grade mathematical knowledge and everyday practice.
Data Driven Collective Decision Management
Dive into readings
Cases and Papers
D3.1 Prototype versions
of Inform & Enlight
When planning new buildings, neighborhoods, or the restoration of current ones, it seems reasonable for the municipality to align the expected outcomes with the needs and wishes of the affected citizens and other relevant groups of stakeholders.
In the following, a brief overview of a process, based on both qualitative and quantitative data, which can inform public decision making is presented.
Dr. Aron Larsson, Preference
Kjell Borking, Preference
Andreas Paulsson, Stockholm University
Johan af Klercker, Allies
Participatory Approaches in Urban Development in Vienna and Austria
The aim of the research is to understand how city planning and policy can work in a participatory manner while integrating private companies, city planners and citizen into decision-making processes. This integration and the project is dealing with various methods such as collecting knowledge or involving various stakeholders with different interests and developing compromise solutions with the help of “multi-stakeholder multi-criteria decision analysis”.
Dr. Nadejda Komendantova
Assoc.Prof.Dr. Wolfgang Amann
IIBW – Institute for Real Estate, Construction and Housing Ltd. Institut für Immobilien, Bauen und Wohnen GmbH
Combining Second-Order Belief
Distributions with Qualitative Statements
in Decision Analysis
It is questionable whether people are capable of providing the inputs that utility theory requires, when most people cannot clearly distinguish between widely separatedprobabilities Shapira (1995). This indicates that precise numerical information does not make much sense in real-life decision making. Furthermore, even if a decision is able to discriminate between different probabilities, very often complete, adequate, and precise information is missing. Hence, decision problems frequently contain far less information than classical utility theory requires.
A Decision Analytical Perspective on Public
If procurement processes are to be taken seriously, purchase managers
need decision support tools beyond those that only ascertain that the formal
requirements are met. This chapter demonstrates some fundamental flaws with
common models used in procurement situations. We demonstrate how the equitability of the tender evaluations can be significantly improved through the use of multi-criteria decision analysis with numerically imprecise input information.
An improvement to swing techniques for elicitation in MCDM methods
Although promising from a decision-theoretical perspective, formal and semi-formal decisionmethods such as multi-criteria decision methods (MCDM) remain rather uncommon in real-life decision modelling and analyses. This seems to owe at least to some extent to perceiveddifficulties in understanding the decision models available. In particular, there exist several methods and approaches designed to elicit criteria weights that utilise various questioning
procedures, ranging from direct rating and point allocation to more elaborate methods. Numerous methods use trade-offs in a structured manner, with significant effects for actual decision-making.
Multi-Stakeholder Preference Analysis
Evaluation of Policy Options - Use Case: Ultra LowEmission Vehicles in UK
While the simulation-based impact assessment of public policy
proposals allows policy makers to identify the feasible policy options and verify
their economic, social and environmental impacts, it does not provide the explicit evaluation of policy options. Multi-criteria decision analysis (MCDA) techniques can support an in-depth performance evaluation of policy options taking into acount the preferences of decision makers and stakeholders.
cups of coffee