A GP-AHP method for solving group decision-making fuzzy AHP problems

Yu, Chian-Son

doi:10.1016/s0305-0548(01)00068-5

Cited by 265 publications

(141 citation statements)

References 35 publications

Supporting

Mentioning

132

Contrasting

Unclassified

Order By: Relevance

“…The problem of generating such a priority vector in the uncertain pair-topair comparison environment is called the fuzzy AHP problem. The first task of the fuzzy AHP method is to decide on the relative importance of each pair of factors in the same hierarchy (Chang 1996;Yu 2002). In this paper, we extended the AHP method for discussing the fuzzy MCDM problems based on interval type-2 fuzzy sets to determine weight matrix of the criteria.…”

Section: Type-2 Fuzzy Ahp Methodologymentioning

confidence: 99%

A Fuzzy Multi-Criteria Decision Making Methodology Based Upon the Interval Type-2 Fuzzy Sets for Evaluating Renewable Energy Alternatives in Turkey

Balın

Baraçlı

2015

Technological and Economic Development of Economy

View full text Add to dashboard Cite

Abstract.Energy is substantial for social development and has an essential role for the survival and development of human as an environmental factor. Due to the serious increase ofthe world's primary energy price and rapid development of Turkey's economy, energy consumption of Turkey has become a major problem. For that purpose, opinions of the decision makers upon the relative importance of selection criteria are determined by using a fuzzy AHP procedure based upon type-2 fuzzy sets, and fuzzy multi-criteria decision-making based upon the interval type-2 TOPSIS method is used to rank the best renewable alternative energy. In this paper, a fuzzy multi criteria decision making (MCDM) methodology was proposed to determine the best renewable energy alternatives for Turkey, because type-2 fuzzy sets provide additional degrees of independence to represent the uncertainty and the fuzziness of real world applications. The results showed that wind was the best alternative for Turkey's energy investments, as being followed subsequently by solar, biomass, geothermal, hydraulic and hydrogen. The results were based upon the opinions of three energy planning experts who ranked the energy alternatives according to the ten criteria we have selected.

show abstract

Section: Type-2 Fuzzy Ahp Methodologymentioning

confidence: 99%

A Fuzzy Multi-Criteria Decision Making Methodology Based Upon the Interval Type-2 Fuzzy Sets for Evaluating Renewable Energy Alternatives in Turkey

Balın

Baraçlı

2015

Technological and Economic Development of Economy

View full text Add to dashboard Cite

show abstract

“…A good decision-making model needs to tolerate vagueness or ambiguity since fuzziness and vagueness are common characteristics in many decision-making problems [13]. To deal with vagueness of human thought, Zadeh [14] first introduced the fuzzy set theory, which was oriented to the rationality of uncertainty due to vagueness [15].…”

Section: Methodsmentioning

confidence: 99%

A Ship Officer Performance Evaluation Model Using Fuzzy-AHP

Keçeci¹,

Bayraktar²,

Arslan³

2015

JSOE

View full text Add to dashboard Cite

A ship's crew plays an important role in the maritime transportation sector and their performance is paramont in the shipping industry. On this account, an impartial evaluation of the crew's performance is an important issue. In this paper, the ship officer's performance evaluation problem is studied. The performance evaluation criteria that shipping companies take into account are determined and a performance evaluation process is modelled by using the FAHP (Fuzzy Analytic Hierarchy Process) based on Chang's Algorithm. Linguistic variables and fuzzy numbers are used in the assessment process. The results of the proposed model demonstrate that the FAHP method is effective and helps managers make better and more reliable decisions under fuzzy circumstances.

show abstract

“…With the AHP, the objectives, criteria and alternatives are arranged in a hierarchical structure similar to a family tree. A hierarchy has at least three levels: overall goal of the problem at the top, multiple criteria that define alternatives in the middle, and decision alternatives at the bottom [8] [7] . The second step is the comparison of the alternatives and the criteria.…”

Section: Methodology 31 Ahp Methodologymentioning

confidence: 99%

The Index Construction and Evaluation Modeling on the Scientific and Technological Innovation of University

Xiaogang¹

2011

RISUS

View full text Add to dashboard Cite

Abstract:The universities are the main source of national and regional scientific and technical innovation. Furthermore, universities' scientific and technological innovation ability determines a country or regional scientific and technological developing level. How to evaluate the innovation and performance of the universities is still unsolved currently. In this paper, the indexes for evaluating the innovation capacity and performance are proposed, and a systematic analytical method is introduced. In order to test the validity, a university in Henan province of China is selected as an example to evaluate its innovation capacity. The search results indicate that the index and method mentioned in this paper is suit to the scientific research evaluation. Key words: Scientific and technological innovation ability; Evaluation; Analytic nierarchy process IntroductionThe university is the important component of the system of scientific and technical innovation. It is one of the important subjects of the knowledge innovation, and the important source of technological innovation, and having influential impact on development of the regional economy. High-level talents and scientific and technological resources have gathered in the campus, a large number of experts from many aspects, which can contribute for the scientific and technological innovations for regions. In Henan province, however, the scientific and technological innovation ability of the university is still weak on the whole. Thus in order to promote the development of university's scientific and technological innovations of our province better and improve the scientific and technological innovation ability of the university of our province, it is very necessary to develop the activity of rational appraisal.This paper is arranged as following: the second section is literature review on the early study on the scientific and technological innovation (STI); then the study method AHP (analytic hierarchy process) is briefly introduced; section 3 is the index design for the evaluation of the STI of the university. Section 4 is an empirical study on the index selected in the paper; finally, the conclusion is reached in the end of section.

show abstract

A GP-AHP method for solving group decision-making fuzzy AHP problems

Cited by 265 publications

References 35 publications

A Fuzzy Multi-Criteria Decision Making Methodology Based Upon the Interval Type-2 Fuzzy Sets for Evaluating Renewable Energy Alternatives in Turkey

A Fuzzy Multi-Criteria Decision Making Methodology Based Upon the Interval Type-2 Fuzzy Sets for Evaluating Renewable Energy Alternatives in Turkey

A Ship Officer Performance Evaluation Model Using Fuzzy-AHP

The Index Construction and Evaluation Modeling on the Scientific and Technological Innovation of University

Contact Info

Product

Resources

About