A systematic review on MIVES: A sustainability-oriented multi-criteria decision-making method

نویسندگان

چکیده

Sustainability has practically become a mandatory concept to be considered in every decision, and multiple decision-making methods have been adapted take it into account. Among them, sustainability centred are also known as assessments, which provides indexes select prioritize alternatives. One of these most recent presented techniques is MIVES, multi attribute utility theory multi-criteria value function-based method initially developed introduce environmental social indicators civil engineering design decisions later for general evaluation prioritization homogenous heterogeneous Over the last decade, widely studied applied specific situations, but MIVES summary currently lacking. Therefore, this paper literature reviewed with deep bibliometric analysis carried out provide on data about state-of-the-art. Furthermore, thematic clusters categorisation done reveal usefulness tool, cataloguing wide applications index. Finally, characteristics discussion help researchers deepen their knowledge towards highlight potential future research pathways.

برای دانلود باید عضویت طلایی داشته باشید

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Evaluation of recommender systems: A multi-criteria decision making approach

The evaluation and selection of recommender systems is a difficult decision making process. This difficulty is partially due to the large diversity of published evaluation criteria in addition to lack of standardized methods of evaluation. As such, a systematic methodology is needed that explicitly considers multiple, possibly conflicting metrics and assists decision makers to evaluate and find...

متن کامل

A robust aggregation operator for multi-criteria decision-making method with bipolar fuzzy soft environment

Molodtsov initiated soft set theory that provided a general mathematicalframework for handling with uncertainties in which we encounter the data by affix parameterized factor during the information analysis as differentiated to fuzzy as well as bipolar fuzzy set theory.The main object of this paper is to lay a foundation for providing a new application of bipolar fuzzy soft tool in ...

متن کامل

A fuzzy multi-criteria decision method for ecotourism development locating

The County of Khorram-Abad enjoys a high potential for ecotourism because of its mountains, forests, natural mineral springs, natural waterfalls and diversity in folks and cultures. But, un-planned and uncontrolled ecotourism can have negative effects on environment, economy, culture and even the security of eco-tourists. The main purpose of this study is to present a fuzzy multi-criteria decis...

متن کامل

A New Multi-Criteria Decision Making Based on Fuzzy- Topsis Theory

Abstract— In this paper, a new extended method of multi criteria decision making based on fuzzy-Topsis theory is introduced. fuzzy mcdm algorithm for determining the best choice among all possible choices when the data are fuzzy is also presented. Using a new index leads to procedure for choosing fuzzy ideal and negative ideal solutions directly from the fuzzy data observed alternatives.in this...

متن کامل

Fuzzy multi-criteria decision making method based on fuzzy structured element with incomplete weight information

The fuzzy structured element (FSE) theory is a very useful toolfor dealing with fuzzy multi-criteria decision making (MCDM)problems by transforming the criterion value vectors of eachalternative into the corresponding criterion function vectors. Inthis paper, some concepts related to function vectors are firstdefined, such as the inner product of two function vectors, thecosine of the included ...

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

ژورنال

عنوان ژورنال: Building and Environment

سال: 2022

ISSN: ['0360-1323', '1873-684X']

DOI: https://doi.org/10.1016/j.buildenv.2022.109515