Decision Oriented Programming in HCI: The Multi-Attribute Decision Language MADL

نویسنده

  • Björn Zenker
چکیده

In Human Computer Interaction (HCI), the computer has to take many decisions to react in a way that human wants. As decisions in HCI are diverse, contradictory, and hard to measure it is hard to study and model them, e.g. finding a mapping from the users preferences to adaptions of the user interface. To ease these tasks, we developed MADL (Multi-Attribute Decision Language). This programming language, based on Multi-Attribute Decision Making (MADM), is designed to model and make hierarchical multi-attributive decisions and is based on the analysis of decisions and goals in HCI. It fosters respecting HCI specific characteristics in development, like uncertainty and risk, can be embedded easily in other applications and allows inclusion of and experimentation with different decision rules. User interface logic can also be modeled by non-programmers and more easily separated from the business logic. The applicability will been shown in three use cases.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multiple Criteria Decision Making Combined with VRP: A Categorized Bibliographic Study

In this research author reviews references related to the topic of multi criterion (goal programming, multiple objective linear and nonlinear programming, bi-criterion programming, Multi Attribute Decision Making, Compromise Programming, Surrogate Worth Trade-off Method) and various versions of vehicle routing problem (VRP), Multi depot VRP (MDVRP), VRP with time windows (VRPWTW), Stochastic VR...

متن کامل

A Hybrid Multi-attribute Group Decision Making Method Based on Grey Linguistic 2-tuple

Because of the complexity of decision-making environment, the uncertainty of fuzziness and the uncertainty of grey maybe coexist in the problems of multi-attribute group decision making. In this paper, we study the problems of multi-attribute group decision making with hybrid grey attribute data (the precise values, interval numbers and linguistic fuzzy variables coexist, and each attribute val...

متن کامل

Sensitivity Analysis of Simple Additive Weighting Method (SAW): The Results of Change in the Weight of One Attribute on the Final Ranking of Alternatives

Most of data in a multi-attribute decision making (MADM) problem are unstable and changeable, then sensitivity analysis after problem solving can effectively contribute to making accurate decisions. This paper provides a new method for sensitivity analysis of MADM problems so that by using it and changing the weights of attributes, one can determine changes in the final results of a decision ma...

متن کامل

MULTI-ATTRIBUTE DECISION MAKING METHOD BASED ON BONFERRONI MEAN OPERATOR and possibility degree OF INTERVAL TYPE-2 TRAPEZOIDAL FUZZY SETS

This paper proposes a new approach based on Bonferroni mean operator and possibility degree to solve fuzzy multi-attribute decision making (FMADM) problems in which the attribute value takes the form of interval type-2 fuzzy numbers. We introduce the concepts of interval possibility mean value and present a new method for calculating the possibility degree of two interval trapezoidal type-2 fuz...

متن کامل

Trapezoidal intuitionistic fuzzy prioritized aggregation operators and application to multi-attribute decision making

In some multi-attribute decision making (MADM) problems, various relationships among the decision attributes should be considered. This paper investigates the prioritization relationship of attributes in MADM with trapezoidal intuitionistic fuzzy numbers (TrIFNs). TrIFNs are a special intuitionistic fuzzy set on a real number set and have the better capability to model ill-known quantities. Fir...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010