Multiple criteria decision analysis of public investment options: application to streetlighting renewal projects

A modification of probabilistic hesitant fuzzy sets and its application to multiple criteria decision making

Probabilistic hesitant fuzzy set (PHFS) is a fruitful concept that adds to hesitant fuzzy set (HFS) the term of probability which is able to retain more information than the usual HFS. Here, we demonstrate that the existing definitions of PHFS are not still reasonable, and therefore, we first improve the PHFS definition. By endowing the set and algebraic operations with a new re-definition of P...

Decision criteria in risk analysis : an application of stochastic dominance with respect to a function

Investment Decision-Making about Portfolio of Technology Development Projects; Based on the Analysis of Success Criteria using Fuzzy Neural Network and MADM

Technology development project is a type of investment project and it is important to identify the performance indicators and planning for the correct investment. The purpose of this research is the development of indicators of portfolio success, accurate analysis of the effects of indicators on each other and the achievement of a proper investment model. In this research, the success criteria ...

Multiple-criteria decision making: application to medical devices

At present, complex evaluation of medical devices is very topical. The methods of pharmacoeconomics and cost analyses appear to need some modifications caused by a different character of medical devices [1]. One of the approaches to this task is utilization of multi-criteria decision making [2]. In this study, a methodology for medical devices evaluation is suggested based on the multi-criteria...

The Application of Multiple-Criteria Decision Analysis to Address Blended Learning Design Challenges

Blended learning has proved to be more effective than either online learning or face-to-face instruction. For many researchers in higher education, it is almost certain that blended learning will be the new traditional model for course delivery. Despite this, designing blended learning courses is still a major challenge for many academics. Educational institutions’ lack of access to blended lea...