In this paper, we demonstrate the design and use of a Foresight Support System (FSS) combining two multi-criteria decision-making (MCDM) methods. Traditionally, foresight activities involves Delphi, focus group, or Estimate-Talk-Estimate techniques to collect opinions of an expert panel. Often, these techniques are not computerized and data visualization is rudimentary. Our highly-interactive F...

This paper presents an approach to select the best farming strategy considering various criteria. The goal is to help a farmer to take appropriate decision in farming. Two possible alternatives are consideredConventional farming and Organic farming. These farming types are evaluated by MCDM technique taking into account three criteria viz. Productivity, Marketing, and Health-Environment Friendl...

This chapter aims to provide an overview of the class of multi-criteria recommender systems. First, it defines the recommendation problem as a multicriteria decision making (MCDM) problem, and reviews MCDM methods and techniques that can support the implementation of multi-criteria recommenders. Then, it focuses on the category of multi-criteria rating recommenders – techniques that provide rec...

In the real-world problems, we are likely confronted with some alternatives that need to be evaluated with respect to multiple conflicting criteria. Multi-criteria decision-making (MCDM) refers to making decisions in such a situation. There are many methods and techniques available for solving MCDM problems. The evaluation based on distance from average solution (EDAS) method is an efficient mu...

Problems involving the processing of spatial data such as industrial site selection and land use allocation are multifacetted challenges. Not only they often involve numerous technical requirements, but may also contain economical, social, environmental and political dimensions that may have conflicting values. Solutions for these problems involve highly complex spatial data analysis processes ...

The process of multiple criteria decision making (MCDM) is of determining the best choice among all of the probable alternatives. The problem of supplier selection on which decision maker has usually vague and imprecise knowledge is a typical example of multi criteria group decision-making problem. The conventional crisp techniques has not much effective for solving MCDM problems because of imp...

In modern business world group decision-making is becoming an extremely important activity. Recent research on computerized group decision support has focused extensively on supporting people co-located in place and time. There is a need, however, for more research focused on asynchronous group decision support systems (GDSS). Multicriteria decision-making (MCDM) theory has produced a wide rang...

The process of multiple criteria decision making (MCDM) is of determining the best choice among all of the probable alternatives. The problem of supplier selection on which decision maker has usually vague and imprecise knowledge is a typical example of multi criteria group decision-making problem. The conventional crisp techniques has not much effective for solving MCDM problems because of imp...

Multiple Criteria Decision Making or multi-attribute (MCDM) problems refer to performing preference decisions (e.g. ranking, ordering, prioritization, selection) over several available alternatives or objects that are characterized by multiple, usually conflicting, attributes or criteria. MCDM techniques have been and are still being encountered in a wide range of human activities, from the pro...

Developing consensus is crucial to effective collaborative decision making and is particularly difficult in cases involving disruptive technologies, a new technology that unexpectedly displaces an established technology. Collaborative decision making often involves multiple criteria. Multicriteria decision making (MCDM) techniques, such as the analytical hierarchy process (AHP) and multiattribu...