Next Article in Journal
Cost Analysis Method for Estimating Dynamic Reserve Considering Uncertainties in Supply and Demand
Next Article in Special Issue
Effects of Power Tracking Algorithms on Lifetime of Power Electronic Devices Used in Solar Systems
Previous Article in Journal
Comparison of Numerical and Experimental Studies for Flow-Field Optimization Based on Under-Rib Convection in Polymer Electrolyte Membrane Fuel Cells
Previous Article in Special Issue
Energy Efficiency Enhancement of Photovoltaics by Phase Change Materials through Thermal Energy Recovery
Article Menu
Issue 10 (October) cover image

Export Article

Open AccessArticle
Energies 2016, 9(10), 835; doi:10.3390/en9100835

New Interval-Valued Intuitionistic Fuzzy Behavioral MADM Method and Its Application in the Selection of Photovoltaic Cells

The Collaborative Innovation Center, Jiangxi University of Finance and Economics, Nanchang 330013, China
Academic Editor: Senthilarasu Sundaram
Received: 3 September 2016 / Revised: 25 September 2016 / Accepted: 10 October 2016 / Published: 20 October 2016
View Full-Text   |   Download PDF [1307 KB, uploaded 20 October 2016]   |  

Abstract

As one of the emerging renewable resources, the use of photovoltaic cells has become a promise for offering clean and plentiful energy. The selection of a best photovoltaic cell for a promoter plays a significant role in aspect of maximizing income, minimizing costs and conferring high maturity and reliability, which is a typical multiple attribute decision making (MADM) problem. Although many prominent MADM techniques have been developed, most of them are usually to select the optimal alternative under the hypothesis that the decision maker or expert is completely rational and the decision data are represented by crisp values. However, in the selecting processes of photovoltaic cells the decision maker is usually bounded rational and the ratings of alternatives are usually imprecise and vague. To address these kinds of complex and common issues, in this paper we develop a new interval-valued intuitionistic fuzzy behavioral MADM method. We employ interval-valued intuitionistic fuzzy numbers (IVIFNs) to express the imprecise ratings of alternatives; and we construct LINMAP-based nonlinear programming models to identify the reference points under IVIFNs contexts, which avoid the subjective randomness of selecting the reference points. Finally we develop a prospect theory-based ranking method to identify the optimal alternative, which takes fully into account the decision maker’s behavioral characteristics such as reference dependence, diminishing sensitivity and loss aversion in the decision making process. View Full-Text
Keywords: multiple attribute decision making; interval-valued intuitionistic fuzzy information; photovoltaic cells; renewable energy multiple attribute decision making; interval-valued intuitionistic fuzzy information; photovoltaic cells; renewable energy
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Zhang, X. New Interval-Valued Intuitionistic Fuzzy Behavioral MADM Method and Its Application in the Selection of Photovoltaic Cells. Energies 2016, 9, 835.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top